Iteration 0 WSSR : 3.627e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707427 initial set of free parameter values a = 1 b = 1 / Iteration 1 WSSR : 5.78957e+06 delta(WSSR)/WSSR : -5.26472 delta(WSSR) : -3.04804e+07 limit for stopping : 1e-05 lambda : 0.0707427 resultant parameter values a = 639.503 b = 293.786 / Iteration 2 WSSR : 2.47978e+06 delta(WSSR)/WSSR : -1.33471 delta(WSSR) : -3.30978e+06 limit for stopping : 1e-05 lambda : 0.00707427 resultant parameter values a = 9801.15 b = 33.575 / Iteration 3 WSSR : 2.4082e+06 delta(WSSR)/WSSR : -0.0297249 delta(WSSR) : -71583.4 limit for stopping : 1e-05 lambda : 0.000707427 resultant parameter values a = 11358.5 b = -10.7425 / Iteration 4 WSSR : 2.4082e+06 delta(WSSR)/WSSR : -8.58918e-08 delta(WSSR) : -0.206844 limit for stopping : 1e-05 lambda : 7.07427e-05 resultant parameter values a = 11361.2 b = -10.818 After 4 iterations the fit converged. final sum of squares of residuals : 2.4082e+06 rel. change during last iteration : -8.58918e-08 degrees of freedom (FIT_NDF) : 308 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 88.4241 variance of residuals (reduced chisquare) = WSSR/ndf : 7818.83 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11361.2 +/- 515.6 (4.538%) b = -10.818 +/- 15.51 (143.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.946 1.000 Iteration 0 WSSR : 3.60888e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.980932 initial set of free parameter values aa = 1 bb = 1 / Iteration 1 WSSR : 5.02706e+06 delta(WSSR)/WSSR : -6.17891 delta(WSSR) : -3.10618e+07 limit for stopping : 1e-05 lambda : 0.0980932 resultant parameter values aa = 626.403 bb = -288.686 / Iteration 2 WSSR : 1.69404e+06 delta(WSSR)/WSSR : -1.96749 delta(WSSR) : -3.33302e+06 limit for stopping : 1e-05 lambda : 0.00980932 resultant parameter values aa = 4188.48 bb = -3713.02 / Iteration 3 WSSR : 1.67477e+06 delta(WSSR)/WSSR : -0.0115096 delta(WSSR) : -19275.9 limit for stopping : 1e-05 lambda : 0.000980932 resultant parameter values aa = 4480.5 bb = -3993.78 / Iteration 4 WSSR : 1.67477e+06 delta(WSSR)/WSSR : -7.73616e-09 delta(WSSR) : -0.0129563 limit for stopping : 1e-05 lambda : 9.80932e-05 resultant parameter values aa = 4480.74 bb = -3994.01 After 4 iterations the fit converged. final sum of squares of residuals : 1.67477e+06 rel. change during last iteration : -7.73616e-09 degrees of freedom (FIT_NDF) : 308 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 73.7398 variance of residuals (reduced chisquare) = WSSR/ndf : 5437.55 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 4480.74 +/- 155.2 (3.465%) bb = -3994.01 +/- 149.3 (3.737%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -1.000 1.000 Iteration 0 WSSR : 6.70805e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.980932 initial set of free parameter values aaa = 1 bbb = 1 / Iteration 1 WSSR : 1.83745e+06 delta(WSSR)/WSSR : -2.65075 delta(WSSR) : -4.87061e+06 limit for stopping : 1e-05 lambda : 0.0980932 resultant parameter values aaa = -287.351 bbb = 397.135 / Iteration 2 WSSR : 10588.2 delta(WSSR)/WSSR : -172.537 delta(WSSR) : -1.82686e+06 limit for stopping : 1e-05 lambda : 0.00980932 resultant parameter values aaa = -2924.26 bbb = 2932.63 / Iteration 3 WSSR : 22.7437 delta(WSSR)/WSSR : -464.545 delta(WSSR) : -10565.4 limit for stopping : 1e-05 lambda : 0.000980932 resultant parameter values aaa = -3140.45 bbb = 3140.5 / Iteration 4 WSSR : 22.7366 delta(WSSR)/WSSR : -0.000312341 delta(WSSR) : -0.00710156 limit for stopping : 1e-05 lambda : 9.80932e-05 resultant parameter values aaa = -3140.63 bbb = 3140.67 / Iteration 5 WSSR : 22.7366 delta(WSSR)/WSSR : -5.78146e-14 delta(WSSR) : -1.3145e-12 limit for stopping : 1e-05 lambda : 9.80932e-06 resultant parameter values aaa = -3140.63 bbb = 3140.67 After 5 iterations the fit converged. final sum of squares of residuals : 22.7366 rel. change during last iteration : -5.78146e-14 degrees of freedom (FIT_NDF) : 308 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.271698 variance of residuals (reduced chisquare) = WSSR/ndf : 0.07382 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -3140.63 +/- 0.572 (0.01821%) bbb = 3140.67 +/- 0.55 (0.01751%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000 Iteration 0 WSSR : 6.77844e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.70711 initial set of free parameter values aaaa = 1 bbbb = 1 / Iteration 1 WSSR : 2.22062e+06 delta(WSSR)/WSSR : -2.0525 delta(WSSR) : -4.55782e+06 limit for stopping : 1e-05 lambda : 0.070711 resultant parameter values aaaa = -69.9856 bbbb = 122.179 / Iteration 2 WSSR : 1.79245e+06 delta(WSSR)/WSSR : -0.238872 delta(WSSR) : -428167 limit for stopping : 1e-05 lambda : 0.0070711 resultant parameter values aaaa = -6421.44 bbbb = 139.129 / Iteration 3 WSSR : 157258 delta(WSSR)/WSSR : -10.3982 delta(WSSR) : -1.6352e+06 limit for stopping : 1e-05 lambda : 0.00070711 resultant parameter values aaaa = -54301.6 bbbb = 265.437 / Iteration 4 WSSR : 147912 delta(WSSR)/WSSR : -0.0631839 delta(WSSR) : -9345.68 limit for stopping : 1e-05 lambda : 7.0711e-05 resultant parameter values aaaa = -58202.2 bbbb = 275.727 / Iteration 5 WSSR : 147912 delta(WSSR)/WSSR : -4.19318e-08 delta(WSSR) : -0.00620222 limit for stopping : 1e-05 lambda : 7.0711e-06 resultant parameter values aaaa = -58205.4 bbbb = 275.735 After 5 iterations the fit converged. final sum of squares of residuals : 147912 rel. change during last iteration : -4.19318e-08 degrees of freedom (FIT_NDF) : 308 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 21.9143 variance of residuals (reduced chisquare) = WSSR/ndf : 480.235 Final set of parameters Asymptotic Standard Error ======================= ========================== aaaa = -58205.4 +/- 884.9 (1.52%) bbbb = 275.735 +/- 2.645 (0.9594%) correlation matrix of the fit parameters: aaaa bbbb aaaa 1.000 bbbb -0.882 1.000