******************************************************************************* Sun Jul 5 11:31:31 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Sun Jul 5 11:31:47 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 7.99264e+12 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 231332 initial set of free parameter values a = 1 b = 1 c = 1 After 9 iterations the fit converged. final sum of squares of residuals : 5.03788e+06 rel. change during last iteration : -1.58464e-09 degrees of freedom (FIT_NDF) : 47 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 327.397 variance of residuals (reduced chisquare) = WSSR/ndf : 107189 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00272169 +/- 0.00159 (58.41%) b = -0.540922 +/- 1.939 (358.5%) c = 753.994 +/- 564.1 (74.82%) correlation matrix of the fit parameters: a b c a 1.000 b -0.988 1.000 c 0.951 -0.985 1.000 ******************************************************************************* Sun Jul 5 11:33:31 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 4.36085e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 419.208 initial set of free parameter values m = 1 b = -0.540922 After 6 iterations the fit converged. final sum of squares of residuals : 5.35203e+06 rel. change during last iteration : -6.77101e-12 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 333.917 variance of residuals (reduced chisquare) = WSSR/ndf : 111501 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 2.74043 +/- 0.2994 (10.92%) b = -164.639 +/- 177.5 (107.8%) correlation matrix of the fit parameters: m b m 1.000 b -0.964 1.000 ******************************************************************************* Sun Jul 5 11:36:19 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5.74804e+08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1062.54 initial set of free parameter values m = 2.74043 b = -164.639 After 6 iterations the fit converged. final sum of squares of residuals : 453095 rel. change during last iteration : -1.41994e-07 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 97.157 variance of residuals (reduced chisquare) = WSSR/ndf : 9439.48 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.232 +/- 0.02535 (10.92%) b = 246.341 +/- 38.09 (15.46%) correlation matrix of the fit parameters: m b m 1.000 b -0.933 1.000 ******************************************************************************* Sun Jul 5 13:22:19 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.694e+20 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.7774e+06 initial set of free parameter values c = 753.994 d = 1 e = 1 After 6 iterations the fit converged. final sum of squares of residuals : 373479 rel. change during last iteration : -3.92239e-06 degrees of freedom (FIT_NDF) : 47 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 89.1424 variance of residuals (reduced chisquare) = WSSR/ndf : 7946.37 Final set of parameters Asymptotic Standard Error ======================= ========================== c = -8.13482e-05 +/- 2.459e-05 (30.22%) d = 0.537877 +/- 0.09491 (17.64%) e = 1.04795 +/- 81.33 (7761%) correlation matrix of the fit parameters: c d e c 1.000 d -0.970 1.000 e 0.903 -0.974 1.000 ******************************************************************************* Sun Jul 5 15:48:47 2009 FIT: data read from "apt.data" #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: h(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3.46374e+21 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 4.16011e+09 initial set of free parameter values jj = 1 kk = 1 ll = 1 mm = 1 After 13 iterations the fit converged. final sum of squares of residuals : 369951 rel. change during last iteration : -3.57707e-07 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 89.6795 variance of residuals (reduced chisquare) = WSSR/ndf : 8042.41 Final set of parameters Asymptotic Standard Error ======================= ========================== jj = 2.83959e-08 +/- 4.407e-08 (155.2%) kk = -0.000246343 +/- 0.0002626 (106.6%) ll = 0.815624 +/- 0.4632 (56.79%) mm = -136.437 +/- 246.8 (180.9%) correlation matrix of the fit parameters: jj kk ll mm jj 1.000 kk -0.996 1.000 ll 0.979 -0.993 1.000 mm -0.943 0.967 -0.990 1.000