******************************************************************************* Fri Jul 4 20:03:32 2014 FIT: data read from 'warm.txt' using (60*$0):($1) format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.90186 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.577416 initial set of free parameter values I = 724 y = 29.2 u = 8 After 7 iterations the fit converged. final sum of squares of residuals : 0.0795157 rel. change during last iteration : -1.18548e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0782087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0061166 Final set of parameters Asymptotic Standard Error ======================= ========================== I = 862.339 +/- 29.43 (3.413%) y = 29.327 +/- 0.05356 (0.1826%) u = 38.2758 +/- 7.451 (19.47%) correlation matrix of the fit parameters: I y u I 1.000 y -0.835 1.000 u 0.961 -0.688 1.000 ******************************************************************************* Fri Jul 4 20:03:32 2014 FIT: data read from 'warm.txt' using (60*$0):($1) format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: l(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.88267 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707117 initial set of free parameter values Il = 724 yl = 29.2 After 4 iterations the fit converged. final sum of squares of residuals : 0.237235 rel. change during last iteration : -4.50548e-06 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.130174 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0169454 Final set of parameters Asymptotic Standard Error ======================= ========================== Il = 724.337 +/- 11.39 (1.572%) yl = 29.5191 +/- 0.06215 (0.2105%) correlation matrix of the fit parameters: Il yl Il 1.000 yl -0.852 1.000