******************************************************************************* Thu Mar 1 15:05:36 2012 FIT: data read from '1200/mp_vs_ip.txt' #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 182389 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 74.5226 initial set of free parameter values m = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 89.0371 rel. change during last iteration : -7.07868e-12 degrees of freedom (ndf) : 32 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.66806 variance of residuals (reduced chisquare) = WSSR/ndf : 2.78241 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.310236 +/- 0.003894 (1.255%) b = 0.260015 +/- 0.4104 (157.8%) correlation matrix of the fit parameters: m b m 1.000 b -0.717 1.000 ******************************************************************************* Thu Mar 1 15:05:58 2012 FIT: data read from '330/mp_vs_ip.txt' #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5131.1 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 50.1768 initial set of free parameter values n = 1 c = 1 After 6 iterations the fit converged. final sum of squares of residuals : 4.10769 rel. change during last iteration : -2.38259e-11 degrees of freedom (ndf) : 3 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.17014 variance of residuals (reduced chisquare) = WSSR/ndf : 1.36923 Final set of parameters Asymptotic Standard Error ======================= ========================== n = 0.575417 +/- 0.07723 (13.42%) c = -0.904289 +/- 5.48 (606%) correlation matrix of the fit parameters: n c n 1.000 c -0.995 1.000