******************************************************************************* Fri Nov 18 16:46:35 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:49:50 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 195.019 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 3961.25 dt_1 = -16.8172 After 1 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -6.41247e-15 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:49:57 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 195.019 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 3961.25 dt_1 = -16.8172 After 1 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -3.78919e-15 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:50:46 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:51:36 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:52:18 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:52:52 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:53:44 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 16:54:04 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 17:01:44 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000 ******************************************************************************* Fri Nov 18 17:02:29 2005 FIT: data read from 'tstr.dat' using ($1-273.15):2 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: dt_0+dt_1*x fitted parameters initialized with current variable values Iteration 0 WSSR : 8.89329e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 16.1401 initial set of free parameter values dt_0 = 1 dt_1 = 1 After 6 iterations the fit converged. final sum of squares of residuals : 195.019 rel. change during last iteration : -1.63226e-14 degrees of freedom (ndf) : 5 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.24531 variance of residuals (reduced chisquare) = WSSR/ndf : 39.0039 Final set of parameters Asymptotic Standard Error ======================= ========================== dt_0 = 3961.25 +/- 11.06 (0.2793%) dt_1 = -16.8172 +/- 0.4851 (2.885%) correlation matrix of the fit parameters: dt_0 dt_1 dt_0 1.000 dt_1 -0.977 1.000