******************************************************************************* Tue Apr 6 16:20:56 2010 FIT: data read from 'force.dat' using 1:2 #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 67433.9 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 14180.4 initial set of free parameter values a1 = 300 b1 = 0.005 After 8 iterations the fit converged. final sum of squares of residuals : 3024.75 rel. change during last iteration : -9.65613e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 19.4446 variance of residuals (reduced chisquare) = WSSR/ndf : 378.094 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 308.687 +/- 10.62 (3.442%) b1 = 0.00226668 +/- 0.0002619 (11.55%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.719 1.000 ******************************************************************************* Tue Apr 6 16:20:56 2010 FIT: data read from 'force.dat' using 1:3 #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5612.38 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 14180.4 initial set of free parameter values a2 = 300 b2 = 0.005 After 10 iterations the fit converged. final sum of squares of residuals : 2455.68 rel. change during last iteration : -1.05399e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 17.5203 variance of residuals (reduced chisquare) = WSSR/ndf : 306.961 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 259.891 +/- 12.82 (4.933%) b2 = 0.00415497 +/- 0.0004297 (10.34%) correlation matrix of the fit parameters: a2 b2 a2 1.000 b2 0.783 1.000 ******************************************************************************* Tue Apr 6 16:24:01 2010 FIT: data read from 'force.dat' using 1:2 #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 67433.9 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 14180.4 initial set of free parameter values a1 = 300 b1 = 0.005 After 8 iterations the fit converged. final sum of squares of residuals : 3024.75 rel. change during last iteration : -9.65613e-06 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 19.4446 variance of residuals (reduced chisquare) = WSSR/ndf : 378.094 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 308.687 +/- 10.62 (3.442%) b1 = 0.00226668 +/- 0.0002619 (11.55%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.719 1.000 ******************************************************************************* Tue Apr 6 16:24:01 2010 FIT: data read from 'force.dat' using 1:3 #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5612.38 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 14180.4 initial set of free parameter values a2 = 300 b2 = 0.005 After 10 iterations the fit converged. final sum of squares of residuals : 2455.68 rel. change during last iteration : -1.05399e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 17.5203 variance of residuals (reduced chisquare) = WSSR/ndf : 306.961 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 259.891 +/- 12.82 (4.933%) b2 = 0.00415497 +/- 0.0004297 (10.34%) correlation matrix of the fit parameters: a2 b2 a2 1.000 b2 0.783 1.000