******************************************************************************* Wed Sep 27 22:04:33 2017 FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 format = x:z #datapoints = 100 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.20736e+08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707107 initial set of free parameter values a = 1 b = 1 After 3 iterations the fit converged. final sum of squares of residuals : 1.62567e+07 rel. change during last iteration : -1.45857e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 407.29 variance of residuals (reduced chisquare) = WSSR/ndf : 165885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 492.81 +/- 1.574e+06 (3.194e+05%) b = 1023.1 +/- 167.9 (16.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.970 1.000 ******************************************************************************* Wed Sep 27 22:04:33 2017 FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 format = x:z #datapoints = 100 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.20584e+08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.881185 initial set of free parameter values aa = 1 bb = 1 After 4 iterations the fit converged. final sum of squares of residuals : 1.50391e+07 rel. change during last iteration : -3.68299e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 391.74 variance of residuals (reduced chisquare) = WSSR/ndf : 153460 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 11373.7 +/- 4038 (35.5%) bb = -7433.86 +/- 3003 (40.39%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -1.000 1.000 ******************************************************************************* Wed Sep 27 22:04:33 2017 FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 format = x:z #datapoints = 100 residuals are weighted equally (unit weight) function used for fitting: h(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 571790 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.881185 initial set of free parameter values aaa = 1 bbb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 3867.86 rel. change during last iteration : -2.64534e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.28235 variance of residuals (reduced chisquare) = WSSR/ndf : 39.468 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -328.478 +/- 64.75 (19.71%) bbb = 321.279 +/- 48.15 (14.99%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000