Iteration 0 WSSR : 3.15163e+08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1335.83 initial set of free parameter values HuidigGewicht = 1 KiloPerWeek = 1 SlowDown = 1 / Iteration 1 WSSR : 203481 delta(WSSR)/WSSR : -1547.85 delta(WSSR) : -3.14959e+08 limit for stopping : 1e-05 lambda : 133.583 resultant parameter values HuidigGewicht = 1.00066 KiloPerWeek = 1.0002 SlowDown = 0.067377 / Iteration 2 WSSR : 121817 delta(WSSR)/WSSR : -0.670382 delta(WSSR) : -81664 limit for stopping : 1e-05 lambda : 13.3583 resultant parameter values HuidigGewicht = 1.08045 KiloPerWeek = -0.337452 SlowDown = 0.0373446 / Iteration 3 WSSR : 16943.1 delta(WSSR)/WSSR : -6.1898 delta(WSSR) : -104874 limit for stopping : 1e-05 lambda : 1.33583 resultant parameter values HuidigGewicht = 2.37222 KiloPerWeek = -4.50958 SlowDown = -0.0422459 / Iteration 4 WSSR : 3416.84 delta(WSSR)/WSSR : -3.95869 delta(WSSR) : -13526.2 limit for stopping : 1e-05 lambda : 0.133583 resultant parameter values HuidigGewicht = 50.5869 KiloPerWeek = -2.16526 SlowDown = -0.0158638 / Iteration 5 WSSR : 31.0025 delta(WSSR)/WSSR : -109.212 delta(WSSR) : -3385.84 limit for stopping : 1e-05 lambda : 0.0133583 resultant parameter values HuidigGewicht = 89.5275 KiloPerWeek = -0.160285 SlowDown = 0.00755946 / Iteration 6 WSSR : 30.7815 delta(WSSR)/WSSR : -0.00717764 delta(WSSR) : -0.220939 limit for stopping : 1e-05 lambda : 0.00133583 resultant parameter values HuidigGewicht = 89.8446 KiloPerWeek = -0.143959 SlowDown = 0.0077502 / Iteration 7 WSSR : 30.7815 delta(WSSR)/WSSR : -4.75904e-11 delta(WSSR) : -1.4649e-09 limit for stopping : 1e-05 lambda : 0.000133583 resultant parameter values HuidigGewicht = 89.8446 KiloPerWeek = -0.143957 SlowDown = 0.00775022 After 7 iterations the fit converged. final sum of squares of residuals : 30.7815 rel. change during last iteration : -4.75904e-11 degrees of freedom (ndf) : 64 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.693514 variance of residuals (reduced chisquare) = WSSR/ndf : 0.480961 Final set of parameters Asymptotic Standard Error ======================= ========================== HuidigGewicht = 89.8446 +/- 0.4679 (0.5208%) KiloPerWeek = -0.143957 +/- 0.02585 (17.95%) SlowDown = 0.00775022 +/- 0.0003349 (4.321%) correlation matrix of the fit parameters: Huidig KiloPe SlowDo HuidigGewicht 1.000 KiloPerWeek 0.932 1.000 SlowDown 0.840 0.976 1.000