Iteration 0 WSSR : 129069 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 84.3477 initial set of free parameter values a = 1 b = 1 / Iteration 1 WSSR : 6564.6 delta(WSSR)/WSSR : -18.6613 delta(WSSR) : -122504 limit for stopping : 1e-05 lambda : 8.43477 resultant parameter values a = 0.708029 b = 0.999863 / Iteration 2 WSSR : 6554.01 delta(WSSR)/WSSR : -0.00161544 delta(WSSR) : -10.5876 limit for stopping : 1e-05 lambda : 0.843477 resultant parameter values a = 0.70464 b = 1.23013 / Iteration 3 WSSR : 6005.48 delta(WSSR)/WSSR : -0.0913382 delta(WSSR) : -548.53 limit for stopping : 1e-05 lambda : 0.0843477 resultant parameter values a = 0.549306 b = 19.7746 / Iteration 4 WSSR : 4995.1 delta(WSSR)/WSSR : -0.202276 delta(WSSR) : -1010.39 limit for stopping : 1e-05 lambda : 0.00843477 resultant parameter values a = -0.067621 b = 93.426 / Iteration 5 WSSR : 4993.5 delta(WSSR)/WSSR : -0.000319669 delta(WSSR) : -1.59627 limit for stopping : 1e-05 lambda : 0.000843477 resultant parameter values a = -0.0931258 b = 96.4708 / Iteration 6 WSSR : 4993.5 delta(WSSR)/WSSR : -5.46363e-11 delta(WSSR) : -2.72827e-07 limit for stopping : 1e-05 lambda : 8.43477e-05 resultant parameter values a = -0.0931363 b = 96.4721 After 6 iterations the fit converged. final sum of squares of residuals : 4993.5 rel. change during last iteration : -5.46363e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.13821 variance of residuals (reduced chisquare) = WSSR/ndf : 50.9541 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0931363 +/- 0.1443 (154.9%) b = 96.4721 +/- 17.21 (17.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.999 1.000 Iteration 0 WSSR : 38697.6 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 71.7898 initial set of free parameter values aa = 1 bb = 1 / Iteration 1 WSSR : 8562.61 delta(WSSR)/WSSR : -3.51936 delta(WSSR) : -30134.9 limit for stopping : 1e-05 lambda : 7.17898 resultant parameter values aa = 0.829791 bb = 1.00677 / Iteration 2 WSSR : 8489.56 delta(WSSR)/WSSR : -0.00860526 delta(WSSR) : -73.0548 limit for stopping : 1e-05 lambda : 0.717898 resultant parameter values aa = 0.820734 bb = 1.84213 / Iteration 3 WSSR : 5851.66 delta(WSSR)/WSSR : -0.450794 delta(WSSR) : -2637.9 limit for stopping : 1e-05 lambda : 0.0717898 resultant parameter values aa = 0.41725 bb = 42.9138 / Iteration 4 WSSR : 5010.8 delta(WSSR)/WSSR : -0.167809 delta(WSSR) : -840.86 limit for stopping : 1e-05 lambda : 0.00717898 resultant parameter values aa = 0.030744 bb = 82.2573 / Iteration 5 WSSR : 5010.73 delta(WSSR)/WSSR : -1.54001e-05 delta(WSSR) : -0.0771658 limit for stopping : 1e-05 lambda : 0.000717898 resultant parameter values aa = 0.0270062 bb = 82.6378 / Iteration 6 WSSR : 5010.73 delta(WSSR)/WSSR : -1.443e-13 delta(WSSR) : -7.23048e-10 limit for stopping : 1e-05 lambda : 7.17898e-05 resultant parameter values aa = 0.0270058 bb = 82.6379 After 6 iterations the fit converged. final sum of squares of residuals : 5010.73 rel. change during last iteration : -1.443e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.15052 variance of residuals (reduced chisquare) = WSSR/ndf : 51.1299 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0270058 +/- 0.09648 (357.3%) bb = 82.6379 +/- 9.795 (11.85%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -0.997 1.000 Iteration 0 WSSR : 27023.7 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 71.7898 initial set of free parameter values aaa = 1 bbb = 1 / Iteration 1 WSSR : 8641.55 delta(WSSR)/WSSR : -2.12719 delta(WSSR) : -18382.2 limit for stopping : 1e-05 lambda : 7.17898 resultant parameter values aaa = 0.867036 bbb = 1.00818 / Iteration 2 WSSR : 8549.83 delta(WSSR)/WSSR : -0.0107272 delta(WSSR) : -91.716 limit for stopping : 1e-05 lambda : 0.717898 resultant parameter values aaa = 0.857153 bbb = 1.94665 / Iteration 3 WSSR : 5220.55 delta(WSSR)/WSSR : -0.637727 delta(WSSR) : -3329.29 limit for stopping : 1e-05 lambda : 0.0717898 resultant parameter values aaa = 0.403866 bbb = 48.0879 / Iteration 4 WSSR : 4159.3 delta(WSSR)/WSSR : -0.255151 delta(WSSR) : -1061.25 limit for stopping : 1e-05 lambda : 0.00717898 resultant parameter values aaa = -0.0303472 bbb = 92.2877 / Iteration 5 WSSR : 4159.2 delta(WSSR)/WSSR : -2.34157e-05 delta(WSSR) : -0.0973908 limit for stopping : 1e-05 lambda : 0.000717898 resultant parameter values aaa = -0.0345465 bbb = 92.7151 / Iteration 6 WSSR : 4159.2 delta(WSSR)/WSSR : -2.19108e-13 delta(WSSR) : -9.11314e-10 limit for stopping : 1e-05 lambda : 7.17898e-05 resultant parameter values aaa = -0.0345469 bbb = 92.7152 After 6 iterations the fit converged. final sum of squares of residuals : 4159.2 rel. change during last iteration : -2.19108e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.51466 variance of residuals (reduced chisquare) = WSSR/ndf : 42.4408 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -0.0345469 +/- 0.0879 (254.4%) bbb = 92.7152 +/- 8.924 (9.625%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -0.997 1.000 Iteration 0 WSSR : 30294.4 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 72.9129 initial set of free parameter values aaaa = 1 bbbb = 1 / Iteration 1 WSSR : 7542.11 delta(WSSR)/WSSR : -3.0167 delta(WSSR) : -22752.3 limit for stopping : 1e-05 lambda : 7.29129 resultant parameter values aaaa = 0.854383 bbbb = 1.0057 / Iteration 2 WSSR : 7488.45 delta(WSSR)/WSSR : -0.00716584 delta(WSSR) : -53.661 limit for stopping : 1e-05 lambda : 0.729129 resultant parameter values aaaa = 0.84683 bbbb = 1.71093 / Iteration 3 WSSR : 5195.8 delta(WSSR)/WSSR : -0.44125 delta(WSSR) : -2292.65 limit for stopping : 1e-05 lambda : 0.0729129 resultant parameter values aaaa = 0.466748 bbbb = 40.9842 / Iteration 4 WSSR : 4165.38 delta(WSSR)/WSSR : -0.247377 delta(WSSR) : -1030.42 limit for stopping : 1e-05 lambda : 0.00729129 resultant parameter values aaaa = -0.00497837 bbbb = 89.7269 / Iteration 5 WSSR : 4165.22 delta(WSSR)/WSSR : -3.81126e-05 delta(WSSR) : -0.158748 limit for stopping : 1e-05 lambda : 0.000729129 resultant parameter values aaaa = -0.0109059 bbbb = 90.3394 / Iteration 6 WSSR : 4165.22 delta(WSSR)/WSSR : -6.01785e-13 delta(WSSR) : -2.50657e-09 limit for stopping : 1e-05 lambda : 7.29129e-05 resultant parameter values aaaa = -0.0109066 bbbb = 90.3395 After 6 iterations the fit converged. final sum of squares of residuals : 4165.22 rel. change during last iteration : -6.01785e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.51938 variance of residuals (reduced chisquare) = WSSR/ndf : 42.5023 Final set of parameters Asymptotic Standard Error ======================= ========================== aaaa = -0.0109066 +/- 0.09721 (891.3%) bbbb = 90.3395 +/- 10.02 (11.09%) correlation matrix of the fit parameters: aaaa bbbb aaaa 1.000 bbbb -0.998 1.000