Iteration 0 WSSR : 1.08985e+09 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 / Iteration 1 WSSR : 2.34754e+08 delta(WSSR)/WSSR : -3.64251 delta(WSSR) : -8.55093e+08 limit for stopping : 1e-05 lambda : 0.0707107 resultant parameter values a = -0.547619 b = 1461.27 / Iteration 2 WSSR : 2.34752e+08 delta(WSSR)/WSSR : -6.88157e-06 delta(WSSR) : -1615.46 limit for stopping : 1e-05 lambda : 0.00707107 resultant parameter values a = -168.685 b = 1463.12 After 2 iterations the fit converged. final sum of squares of residuals : 2.34752e+08 rel. change during last iteration : -6.88157e-06 degrees of freedom (FIT_NDF) : 398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 768.004 variance of residuals (reduced chisquare) = WSSR/ndf : 589830 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -168.685 +/- 1.208e+06 (7.161e+05%) b = 1463.12 +/- 117.2 (8.012%) correlation matrix of the fit parameters: a b a 1.000 b -0.945 1.000 Iteration 0 WSSR : 1.08907e+09 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.855277 initial set of free parameter values aa = 1 bb = 1 / Iteration 1 WSSR : 1.65273e+08 delta(WSSR)/WSSR : -5.58955 delta(WSSR) : -9.238e+08 limit for stopping : 1e-05 lambda : 0.0855277 resultant parameter values aa = -4523.71 bb = 4525.11 / Iteration 2 WSSR : 1.32418e+08 delta(WSSR)/WSSR : -0.248112 delta(WSSR) : -3.28546e+07 limit for stopping : 1e-05 lambda : 0.00855277 resultant parameter values aa = -10366.5 bb = 8498.88 / Iteration 3 WSSR : 1.32414e+08 delta(WSSR)/WSSR : -3.1361e-05 delta(WSSR) : -4152.64 limit for stopping : 1e-05 lambda : 0.000855277 resultant parameter values aa = -10433 bb = 8544.05 / Iteration 4 WSSR : 1.32414e+08 delta(WSSR)/WSSR : -4.04224e-13 delta(WSSR) : -5.3525e-05 limit for stopping : 1e-05 lambda : 8.55277e-05 resultant parameter values aa = -10433 bb = 8544.05 After 4 iterations the fit converged. final sum of squares of residuals : 1.32414e+08 rel. change during last iteration : -4.04224e-13 degrees of freedom (FIT_NDF) : 398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 576.8 variance of residuals (reduced chisquare) = WSSR/ndf : 332699 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -10433 +/- 594.9 (5.702%) bb = 8544.05 +/- 404.8 (4.737%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -0.997 1.000 Iteration 0 WSSR : 3.69084e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.855277 initial set of free parameter values aaa = 1 bbb = 1 / Iteration 1 WSSR : 55459.9 delta(WSSR)/WSSR : -65.5497 delta(WSSR) : -3.63538e+06 limit for stopping : 1e-05 lambda : 0.0855277 resultant parameter values aaa = -133.014 bbb = 186.059 / Iteration 2 WSSR : 17060.2 delta(WSSR)/WSSR : -2.25084 delta(WSSR) : -38399.7 limit for stopping : 1e-05 lambda : 0.00855277 resultant parameter values aaa = -332.729 bbb = 321.943 / Iteration 3 WSSR : 17055.3 delta(WSSR)/WSSR : -0.000284545 delta(WSSR) : -4.85301 limit for stopping : 1e-05 lambda : 0.000855277 resultant parameter values aaa = -335 bbb = 323.487 / Iteration 4 WSSR : 17055.3 delta(WSSR)/WSSR : -3.67716e-12 delta(WSSR) : -6.27151e-08 limit for stopping : 1e-05 lambda : 8.55277e-05 resultant parameter values aaa = -335 bbb = 323.487 After 4 iterations the fit converged. final sum of squares of residuals : 17055.3 rel. change during last iteration : -3.67716e-12 degrees of freedom (FIT_NDF) : 398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54618 variance of residuals (reduced chisquare) = WSSR/ndf : 42.8525 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -335 +/- 6.751 (2.015%) bbb = 323.487 +/- 4.594 (1.42%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -0.997 1.000 Iteration 0 WSSR : 3.74103e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707136 initial set of free parameter values aaaa = 1 bbbb = 1 / Iteration 1 WSSR : 121788 delta(WSSR)/WSSR : -29.7175 delta(WSSR) : -3.61924e+06 limit for stopping : 1e-05 lambda : 0.0707136 resultant parameter values aaaa = -27.1332 bbbb = 96.2398 / Iteration 2 WSSR : 70731.1 delta(WSSR)/WSSR : -0.721846 delta(WSSR) : -51057 limit for stopping : 1e-05 lambda : 0.00707136 resultant parameter values aaaa = -2086.72 bbbb = 114.511 / Iteration 3 WSSR : 18590.2 delta(WSSR)/WSSR : -2.80475 delta(WSSR) : -52140.9 limit for stopping : 1e-05 lambda : 0.000707136 resultant parameter values aaaa = -7030.47 bbbb = 158.084 / Iteration 4 WSSR : 18560.2 delta(WSSR)/WSSR : -0.00161956 delta(WSSR) : -30.0593 limit for stopping : 1e-05 lambda : 7.07136e-05 resultant parameter values aaaa = -7152.02 bbbb = 159.156 / Iteration 5 WSSR : 18560.2 delta(WSSR)/WSSR : -9.79115e-11 delta(WSSR) : -1.81725e-06 limit for stopping : 1e-05 lambda : 7.07136e-06 resultant parameter values aaaa = -7152.05 bbbb = 159.156 After 5 iterations the fit converged. final sum of squares of residuals : 18560.2 rel. change during last iteration : -9.79115e-11 degrees of freedom (FIT_NDF) : 398 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.82888 variance of residuals (reduced chisquare) = WSSR/ndf : 46.6336 Final set of parameters Asymptotic Standard Error ======================= ========================== aaaa = -7152.05 +/- 151.4 (2.117%) bbbb = 159.156 +/- 1.378 (0.8657%) correlation matrix of the fit parameters: aaaa bbbb aaaa 1.000 bbbb -0.969 1.000