Iteration 0 WSSR : 2.69952e+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 : 6.0511e+08 delta(WSSR)/WSSR : -3.4612 delta(WSSR) : -2.09441e+09 limit for stopping : 1e-05 lambda : 0.0707107 resultant parameter values a = -9.15081 b = 1517.25 / Iteration 2 WSSR : 6.05099e+08 delta(WSSR)/WSSR : -1.84933e-05 delta(WSSR) : -11190.3 limit for stopping : 1e-05 lambda : 0.00707107 resultant parameter values a = -1036.65 b = 1518.17 / Iteration 3 WSSR : 6.04072e+08 delta(WSSR)/WSSR : -0.00169898 delta(WSSR) : -1.02631e+06 limit for stopping : 1e-05 lambda : 0.000707107 resultant parameter values a = -101864 b = 1526.56 / Iteration 4 WSSR : 5.80578e+08 delta(WSSR)/WSSR : -0.040467 delta(WSSR) : -2.34943e+07 limit for stopping : 1e-05 lambda : 7.07107e-05 resultant parameter values a = -3.56955e+06 b = 1815.15 / Iteration 5 WSSR : 5.77427e+08 delta(WSSR)/WSSR : -0.00545821 delta(WSSR) : -3.15172e+06 limit for stopping : 1e-05 lambda : 7.07107e-06 resultant parameter values a = -5.37788e+06 b = 1965.65 / Iteration 6 WSSR : 5.77426e+08 delta(WSSR)/WSSR : -1.48436e-07 delta(WSSR) : -85.7109 limit for stopping : 1e-05 lambda : 7.07107e-07 resultant parameter values a = -5.38736e+06 b = 1966.44 After 6 iterations the fit converged. final sum of squares of residuals : 5.77426e+08 rel. change during last iteration : -1.48436e-07 degrees of freedom (FIT_NDF) : 908 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 797.454 variance of residuals (reduced chisquare) = WSSR/ndf : 635932 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -5.38736e+06 +/- 8.165e+05 (15.16%) b = 1966.44 +/- 72.92 (3.708%) correlation matrix of the fit parameters: a b a 1.000 b -0.932 1.000 Iteration 0 WSSR : 2.6977e+09 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.857335 initial set of free parameter values aa = 1 bb = 1 / Iteration 1 WSSR : 3.537e+08 delta(WSSR)/WSSR : -6.62708 delta(WSSR) : -2.344e+09 limit for stopping : 1e-05 lambda : 0.0857335 resultant parameter values aa = -6338.16 bb = 5839.13 / Iteration 2 WSSR : 3.3878e+08 delta(WSSR)/WSSR : -0.0440412 delta(WSSR) : -1.49203e+07 limit for stopping : 1e-05 lambda : 0.00857335 resultant parameter values aa = -8296.31 bb = 7180.26 / Iteration 3 WSSR : 3.3878e+08 delta(WSSR)/WSSR : -3.41053e-07 delta(WSSR) : -115.542 limit for stopping : 1e-05 lambda : 0.000857335 resultant parameter values aa = -8301.78 bb = 7184 After 3 iterations the fit converged. final sum of squares of residuals : 3.3878e+08 rel. change during last iteration : -3.41053e-07 degrees of freedom (FIT_NDF) : 908 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 610.824 variance of residuals (reduced chisquare) = WSSR/ndf : 373106 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -8301.78 +/- 310.7 (3.743%) bb = 7184 +/- 213 (2.965%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -0.995 1.000 Iteration 0 WSSR : 8.64029e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.857335 initial set of free parameter values aaa = 1 bbb = 1 / Iteration 1 WSSR : 65352.7 delta(WSSR)/WSSR : -131.21 delta(WSSR) : -8.57494e+06 limit for stopping : 1e-05 lambda : 0.0857335 resultant parameter values aaa = -219.119 bbb = 246.318 / Iteration 2 WSSR : 44319.4 delta(WSSR)/WSSR : -0.474585 delta(WSSR) : -21033.3 limit for stopping : 1e-05 lambda : 0.00857335 resultant parameter values aaa = -292.627 bbb = 296.685 / Iteration 3 WSSR : 44319.2 delta(WSSR)/WSSR : -3.6749e-06 delta(WSSR) : -0.162868 limit for stopping : 1e-05 lambda : 0.000857335 resultant parameter values aaa = -292.832 bbb = 296.825 After 3 iterations the fit converged. final sum of squares of residuals : 44319.2 rel. change during last iteration : -3.6749e-06 degrees of freedom (FIT_NDF) : 908 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.98639 variance of residuals (reduced chisquare) = WSSR/ndf : 48.8097 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -292.832 +/- 3.554 (1.214%) bbb = 296.825 +/- 2.437 (0.8209%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -0.995 1.000 Iteration 0 WSSR : 8.75529e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707146 initial set of free parameter values aaaa = 1 bbbb = 1 / Iteration 1 WSSR : 356710 delta(WSSR)/WSSR : -23.5445 delta(WSSR) : -8.39858e+06 limit for stopping : 1e-05 lambda : 0.0707146 resultant parameter values aaaa = -135.643 bbbb = 98.21 / Iteration 2 WSSR : 98176.3 delta(WSSR)/WSSR : -2.63337 delta(WSSR) : -258534 limit for stopping : 1e-05 lambda : 0.00707146 resultant parameter values aaaa = -3207.68 bbbb = 127.583 / Iteration 3 WSSR : 84605.3 delta(WSSR)/WSSR : -0.160403 delta(WSSR) : -13570.9 limit for stopping : 1e-05 lambda : 0.000707146 resultant parameter values aaaa = -4088.49 bbbb = 135.99 / Iteration 4 WSSR : 84605.2 delta(WSSR)/WSSR : -1.31864e-06 delta(WSSR) : -0.111564 limit for stopping : 1e-05 lambda : 7.07146e-05 resultant parameter values aaaa = -4091.03 bbbb = 136.014 After 4 iterations the fit converged. final sum of squares of residuals : 84605.2 rel. change during last iteration : -1.31864e-06 degrees of freedom (FIT_NDF) : 908 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.65285 variance of residuals (reduced chisquare) = WSSR/ndf : 93.1775 Final set of parameters Asymptotic Standard Error ======================= ========================== aaaa = -4091.03 +/- 73.19 (1.789%) bbbb = 136.014 +/- 0.7684 (0.5649%) correlation matrix of the fit parameters: aaaa bbbb aaaa 1.000 bbbb -0.909 1.000