******************************************************************************* 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 ******************************************************************************* Wed Sep 4 20:45:09 2024 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 ******************************************************************************* Wed Sep 4 20:46:25 2024 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 ******************************************************************************* Wed Sep 4 20:46:42 2024 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 ******************************************************************************* Wed Sep 4 20:49:01 2024 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 ******************************************************************************* Wed Sep 4 20:50:17 2024 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 ******************************************************************************* Wed Sep 4 20:51:05 2024 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