

*******************************************************************************
Tue May  7 10:26:38 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:27:37 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:41:59 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:44:08 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:46:04 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:47:10 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Tue May  7 10:49:15 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:22:47 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:23:42 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:29:57 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:39:04 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:39:30 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:40:00 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:46:09 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:46:22 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:47:55 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:52:05 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:54:12 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 12:55:23 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:02:21 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:04:30 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:04:41 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:08:07 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:08:19 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:09:07 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Thu May  9 13:09:55 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 09:46:17 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 09:50:30 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 09:52:07 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:04:53 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:09:08 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:25:01 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:25:56 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:27:42 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:28:40 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:32:07 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:34:10 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:35:21 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:37:12 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:39:11 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:40:34 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:41:48 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:42:49 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:43:51 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:45:31 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:47:16 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:49:10 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:51:24 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:54:14 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:56:37 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 10:58:23 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:11:39 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:17:54 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:19:42 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:23:01 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:25:22 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:27:17 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:28:40 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:29:52 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:31:42 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:33:14 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:35:10 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:41:31 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:41:45 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:46:52 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:47:03 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:48:30 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:48:40 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 11:49:53 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:19:08 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:19:26 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:21:49 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:22:02 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:29:10 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:30:35 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:33:02 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:42:59 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:43:16 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:44:50 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:48:53 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:50:35 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:50:48 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:58:19 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:58:34 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 16:59:35 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri May 10 17:00:45 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Mon Nov 11 19:54:06 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Mon Nov 11 19:54:37 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Mon Nov 11 19:54:55 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Mon Nov 11 19:55:16 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Mon Nov 11 19:55:40 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri Dec 13 23:31:52 2019


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 


*******************************************************************************
Fri Jan 10 22:54:14 2020


FIT:    data read from 'test.txt' index 0 u 1:2
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x**2+b*x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 1.4700000000e+02   0.00e+00  1.40e+01    1.000000e+00   1.000000e+00
   4 1.3285714286e+01  -2.16e-02  1.40e-03    6.250000e-01   1.696429e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 13.2857
rel. change during last iteration : -2.16481e-07

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.82248
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.32143

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 0.625            +/- 0.1552       (24.84%)
b               = 1.69643          +/- 0.7761       (45.75%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.969  1.000 
