Iteration 0 WSSR : 2.28196e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707253 initial set of free parameter values a = 1 b = 1 / Iteration 1 WSSR : 927345 delta(WSSR)/WSSR : -23.6074 delta(WSSR) : -2.18922e+07 limit for stopping : 1e-05 lambda : 0.0707253 resultant parameter values a = 18.7289 b = 209.689 / Iteration 2 WSSR : 924125 delta(WSSR)/WSSR : -0.00348534 delta(WSSR) : -3220.89 limit for stopping : 1e-05 lambda : 0.00707253 resultant parameter values a = 387.992 b = 202.637 / Iteration 3 WSSR : 923871 delta(WSSR)/WSSR : -0.000274688 delta(WSSR) : -253.776 limit for stopping : 1e-05 lambda : 0.000707253 resultant parameter values a = 524.826 b = 199.947 / Iteration 4 WSSR : 923871 delta(WSSR)/WSSR : -3.77204e-09 delta(WSSR) : -0.00348488 limit for stopping : 1e-05 lambda : 7.07253e-05 resultant parameter values a = 525.335 b = 199.937 After 4 iterations the fit converged. final sum of squares of residuals : 923871 rel. change during last iteration : -3.77204e-09 degrees of freedom (FIT_NDF) : 498 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 43.0716 variance of residuals (reduced chisquare) = WSSR/ndf : 1855.16 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 525.335 +/- 371.3 (70.69%) b = 199.937 +/- 7.551 (3.777%) correlation matrix of the fit parameters: a b a 1.000 b -0.967 1.000 Iteration 0 WSSR : 2.26292e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.96613 initial set of free parameter values aa = 1 bb = 1 / Iteration 1 WSSR : 912202 delta(WSSR)/WSSR : -23.8072 delta(WSSR) : -2.1717e+07 limit for stopping : 1e-05 lambda : 0.096613 resultant parameter values aa = 132.556 bb = 86.7137 / Iteration 2 WSSR : 896493 delta(WSSR)/WSSR : -0.0175221 delta(WSSR) : -15708.4 limit for stopping : 1e-05 lambda : 0.0096613 resultant parameter values aa = 426.284 bb = -186.545 / Iteration 3 WSSR : 896315 delta(WSSR)/WSSR : -0.000198541 delta(WSSR) : -177.956 limit for stopping : 1e-05 lambda : 0.00096613 resultant parameter values aa = 461.025 bb = -218.889 / Iteration 4 WSSR : 896315 delta(WSSR)/WSSR : -2.77934e-10 delta(WSSR) : -0.000249116 limit for stopping : 1e-05 lambda : 9.6613e-05 resultant parameter values aa = 461.066 bb = -218.927 After 4 iterations the fit converged. final sum of squares of residuals : 896315 rel. change during last iteration : -2.77934e-10 degrees of freedom (FIT_NDF) : 498 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 42.4244 variance of residuals (reduced chisquare) = WSSR/ndf : 1799.83 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 461.066 +/- 110.6 (23.99%) bb = -218.927 +/- 103 (47.04%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -1.000 1.000 Iteration 0 WSSR : 2.45978e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.96613 initial set of free parameter values aaa = 1 bbb = 1 / Iteration 1 WSSR : 1.31968e+06 delta(WSSR)/WSSR : -17.6393 delta(WSSR) : -2.32782e+07 limit for stopping : 1e-05 lambda : 0.096613 resultant parameter values aaa = -144.879 bbb = 351.3 / Iteration 2 WSSR : 14846.8 delta(WSSR)/WSSR : -87.8865 delta(WSSR) : -1.30483e+06 limit for stopping : 1e-05 lambda : 0.0096613 resultant parameter values aaa = -2822.7 bbb = 2844.62 / Iteration 3 WSSR : 44.6244 delta(WSSR)/WSSR : -331.706 delta(WSSR) : -14802.2 limit for stopping : 1e-05 lambda : 0.00096613 resultant parameter values aaa = -3139.55 bbb = 3139.6 / Iteration 4 WSSR : 44.6037 delta(WSSR)/WSSR : -0.000464564 delta(WSSR) : -0.0207212 limit for stopping : 1e-05 lambda : 9.6613e-05 resultant parameter values aaa = -3139.92 bbb = 3139.95 / Iteration 5 WSSR : 44.6037 delta(WSSR)/WSSR : -1.73479e-13 delta(WSSR) : -7.73781e-12 limit for stopping : 1e-05 lambda : 9.6613e-06 resultant parameter values aaa = -3139.92 bbb = 3139.95 After 5 iterations the fit converged. final sum of squares of residuals : 44.6037 rel. change during last iteration : -1.73479e-13 degrees of freedom (FIT_NDF) : 498 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.299275 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0895656 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -3139.92 +/- 0.7803 (0.02485%) bbb = 3139.95 +/- 0.7265 (0.02314%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000