******************************************************************************* Mon Apr 25 22:48:49 2016 FIT: data read from "N2O5_ln.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: mx+b fitted parameters initialized with current variable values ******************************************************************************* Mon Apr 25 22:48:55 2016 FIT: data read from "N2O5_ln.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: ax+b fitted parameters initialized with current variable values ******************************************************************************* Mon Apr 25 22:49:03 2016 FIT: data read from "N2O5_ln.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: m*x+b fitted parameters initialized with current variable values ******************************************************************************* Mon Apr 25 22:49:12 2016 FIT: data read from "N2O5_ln.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: m*x+b fitted parameters initialized with current variable values Iteration 0 WSSR : 12018.2 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 25.5049 initial set of free parameter values m = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 0.000680871 rel. change during last iteration : -3.58148e-06 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0116694 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000136174 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -0.0288989 +/- 0.0002205 (0.7631%) b = -4.09728 +/- 0.007951 (0.1941%) correlation matrix of the fit parameters: m b m 1.000 b -0.832 1.000 ******************************************************************************* Tue Apr 26 00:09:04 2016 FIT: data read from "N2O5_ln.txt" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: m*x+b fitted parameters initialized with current variable values Iteration 0 WSSR : 12018.2 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 25.5049 initial set of free parameter values m = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 0.000680871 rel. change during last iteration : -3.58148e-06 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0116694 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000136174 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -0.0288989 +/- 0.0002205 (0.7631%) b = -4.09728 +/- 0.007951 (0.1941%) correlation matrix of the fit parameters: m b m 1.000 b -0.832 1.000