******************************************************************************* Mon Oct 15 12:56:01 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.79953e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.741347 initial set of free parameter values a = 1 b = 1 After 13 iterations the fit converged. final sum of squares of residuals : 28902.6 rel. change during last iteration : -3.53144e-07 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 10.6048 variance of residuals (reduced chisquare) = WSSR/ndf : 112.461 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -69.256 +/- 2.241 (3.236%) b = 3.57817 +/- 0.1384 (3.867%) correlation matrix of the fit parameters: a b a 1.000 b 0.969 1.000 ******************************************************************************* Mon Oct 15 12:56:50 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.43916e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1382.54 initial set of free parameter values a = -69.256 b = 3.57817 c = 1 After 357 iterations the fit converged. final sum of squares of residuals : 136737 rel. change during last iteration : -9.99042e-06 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 23.1113 variance of residuals (reduced chisquare) = WSSR/ndf : 534.131 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -18.7742 +/- 4.915e+05 (2.618e+06%) b = -0.834386 +/- 1.153e+05 (1.381e+07%) c = 86.6743 +/- 2.255e+06 (2.601e+06%) correlation matrix of the fit parameters: a b c a 1.000 b -1.000 1.000 c -1.000 1.000 1.000 ******************************************************************************* Mon Oct 15 12:57:38 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 139726 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 3.15151 initial set of free parameter values a = -18.7742 c = 86.6743 After 17 iterations the fit converged. final sum of squares of residuals : 136695 rel. change during last iteration : -9.88368e-06 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 23.0626 variance of residuals (reduced chisquare) = WSSR/ndf : 531.885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -17.7974 +/- 135 (758.6%) c = 91.3385 +/- 3091 (3385%) correlation matrix of the fit parameters: a c a 1.000 c 1.000 1.000 ******************************************************************************* Mon Oct 15 12:57:58 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 135967 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 3.20224 initial set of free parameter values a = -17.7974 c = 91.3385 After 2 iterations the fit converged. final sum of squares of residuals : 135935 rel. change during last iteration : -8.96557e-06 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 22.9985 variance of residuals (reduced chisquare) = WSSR/ndf : 528.929 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -17.7433 +/- 134.7 (759.2%) c = 90.8496 +/- 3150 (3467%) correlation matrix of the fit parameters: a c a 1.000 c 1.000 1.000 ******************************************************************************* Mon Oct 15 12:58:17 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.84073e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.223817 initial set of free parameter values a = -17.7433 c = 90.8496 After 2 iterations the fit converged. final sum of squares of residuals : 1.77129e+06 rel. change during last iteration : -1.45555e-07 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 83.0191 variance of residuals (reduced chisquare) = WSSR/ndf : 6892.17 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Oct 15 12:58:24 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.77129e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.316526 initial set of free parameter values a = 33.9896 After 1 iterations the fit converged. final sum of squares of residuals : 1.77129e+06 rel. change during last iteration : -9.20129e-16 degrees of freedom (ndf) : 258 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 82.8581 variance of residuals (reduced chisquare) = WSSR/ndf : 6865.46 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 33.9896 +/- 16.27 (47.86%) correlation matrix of the fit parameters: a a 1.000 ******************************************************************************* Mon Oct 15 12:58:49 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.73854e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.316526 initial set of free parameter values a = 33.9896 After 2 iterations the fit converged. final sum of squares of residuals : 1.73851e+06 rel. change during last iteration : -2.10201e-10 degrees of freedom (ndf) : 258 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 82.0879 variance of residuals (reduced chisquare) = WSSR/ndf : 6738.42 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 33.0139 +/- 16.11 (48.81%) correlation matrix of the fit parameters: a a 1.000 ******************************************************************************* Mon Oct 15 12:59:17 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.36686e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 4.52022 initial set of free parameter values a = 33.0139 After 3 iterations the fit converged. final sum of squares of residuals : 135939 rel. change during last iteration : -2.19276e-12 degrees of freedom (ndf) : 258 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 22.9542 variance of residuals (reduced chisquare) = WSSR/ndf : 526.896 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -17.5549 +/- 0.3155 (1.797%) correlation matrix of the fit parameters: a a 1.000 ******************************************************************************* Mon Oct 15 13:00:05 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.95697e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0 initial set of free parameter values a = -17.5549 BREAK: Singular matrix in Givens() ******************************************************************************* Mon Oct 15 13:00:07 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.95697e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707107 initial set of free parameter values a = -17.5724 b = -0.834386 After 3 iterations the fit converged. final sum of squares of residuals : 136290 rel. change during last iteration : -1.79376e-14 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 23.0285 variance of residuals (reduced chisquare) = WSSR/ndf : 530.313 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Oct 15 13:00:17 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 136292 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.70715 initial set of free parameter values b = -84.762 c = 90.9405 After 71 iterations the fit converged. final sum of squares of residuals : 116288 rel. change during last iteration : -8.797e-07 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.2717 variance of residuals (reduced chisquare) = WSSR/ndf : 452.484 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -77.1708 +/- 1.4 (1.814%) c = 0.974933 +/- 0.001301 (0.1334%) correlation matrix of the fit parameters: b c b 1.000 c -0.330 1.000 ******************************************************************************* Mon Oct 15 13:00:19 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 116288 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 761.164 initial set of free parameter values b = -77.1708 c = 0.974933 After 1 iterations the fit converged. final sum of squares of residuals : 116288 rel. change during last iteration : -9.53788e-07 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.2717 variance of residuals (reduced chisquare) = WSSR/ndf : 452.484 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -77.1708 +/- 1.4 (1.814%) c = 0.974932 +/- 0.001299 (0.1332%) correlation matrix of the fit parameters: b c b 1.000 c -0.329 1.000 ******************************************************************************* Mon Oct 15 13:00:20 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 116288 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 762.082 initial set of free parameter values b = -77.1708 c = 0.974932 After 1 iterations the fit converged. final sum of squares of residuals : 116288 rel. change during last iteration : -1.12673e-06 degrees of freedom (ndf) : 257 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.2716 variance of residuals (reduced chisquare) = WSSR/ndf : 452.483 Final set of parameters Asymptotic Standard Error ======================= ========================== b = -77.1708 +/- 1.4 (1.814%) c = 0.974931 +/- 0.001297 (0.133%) correlation matrix of the fit parameters: b c b 1.000 c -0.329 1.000 ******************************************************************************* Mon Oct 15 13:00:57 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 147989 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.579722 initial set of free parameter values a = -17.5724 b = -77.1708 c = 0.974931 After 10 iterations the fit converged. final sum of squares of residuals : 114680 rel. change during last iteration : -1.5952e-06 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1653 variance of residuals (reduced chisquare) = WSSR/ndf : 447.968 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.205 +/- 0.108 (0.1078%) b = -80.6304 +/- 1.534 (1.902%) c = 97.7232 +/- 0.1456 (0.149%) correlation matrix of the fit parameters: a b c a 1.000 b 0.174 1.000 c -0.396 -0.513 1.000 ******************************************************************************* Mon Oct 15 13:00:58 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114680 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 10.0803 initial set of free parameter values a = 100.205 b = -80.6304 c = 97.7232 After 2 iterations the fit converged. final sum of squares of residuals : 114675 rel. change during last iteration : -4.00919e-06 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1648 variance of residuals (reduced chisquare) = WSSR/ndf : 447.948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.204 +/- 0.1041 (0.1039%) b = -80.6299 +/- 1.479 (1.835%) c = 97.716 +/- 0.1321 (0.1352%) correlation matrix of the fit parameters: a b c a 1.000 b 0.163 1.000 c -0.444 -0.456 1.000 ******************************************************************************* Mon Oct 15 13:00:59 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114675 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 10.8345 initial set of free parameter values a = 100.204 b = -80.6299 c = 97.716 After 1 iterations the fit converged. final sum of squares of residuals : 114675 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1648 variance of residuals (reduced chisquare) = WSSR/ndf : 447.948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.204 +/- 0.1041 (0.1039%) b = -80.6299 +/- 1.479 (1.835%) c = 97.716 +/- 0.1321 (0.1352%) correlation matrix of the fit parameters: a b c a 1.000 b 0.163 1.000 c -0.444 -0.456 1.000 ******************************************************************************* Mon Oct 15 13:00:59 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114675 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 10.8345 initial set of free parameter values a = 100.204 b = -80.6299 c = 97.716 After 1 iterations the fit converged. final sum of squares of residuals : 114675 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1648 variance of residuals (reduced chisquare) = WSSR/ndf : 447.948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.204 +/- 0.1041 (0.1039%) b = -80.6299 +/- 1.479 (1.835%) c = 97.716 +/- 0.1321 (0.1352%) correlation matrix of the fit parameters: a b c a 1.000 b 0.163 1.000 c -0.444 -0.456 1.000 ******************************************************************************* Mon Oct 15 13:01:00 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114675 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 10.8345 initial set of free parameter values a = 100.204 b = -80.6299 c = 97.716 After 1 iterations the fit converged. final sum of squares of residuals : 114675 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1648 variance of residuals (reduced chisquare) = WSSR/ndf : 447.948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.204 +/- 0.1041 (0.1039%) b = -80.6299 +/- 1.479 (1.835%) c = 97.716 +/- 0.1321 (0.1352%) correlation matrix of the fit parameters: a b c a 1.000 b 0.163 1.000 c -0.444 -0.456 1.000 ******************************************************************************* Mon Oct 15 13:01:01 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114675 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 10.8345 initial set of free parameter values a = 100.204 b = -80.6299 c = 97.716 After 1 iterations the fit converged. final sum of squares of residuals : 114675 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 21.1648 variance of residuals (reduced chisquare) = WSSR/ndf : 447.948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.204 +/- 0.1041 (0.1039%) b = -80.6299 +/- 1.479 (1.835%) c = 97.716 +/- 0.1321 (0.1352%) correlation matrix of the fit parameters: a b c a 1.000 b 0.163 1.000 c -0.444 -0.456 1.000 ******************************************************************************* Mon Oct 15 13:01:18 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values ******************************************************************************* Mon Oct 15 13:01:20 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 114675 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 9.49187 initial set of free parameter values a = 100.204 b = -80.6299 c = 97.716 d = 1 After 84 iterations the fit converged. final sum of squares of residuals : 3577.32 rel. change during last iteration : -9.94853e-06 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.74549 variance of residuals (reduced chisquare) = WSSR/ndf : 14.0287 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.487 +/- 15.49 (15.41%) b = -109.546 +/- 11.66 (10.64%) c = 100.239 +/- 16.73 (16.69%) d = 23.6025 +/- 1.936 (8.201%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.961 1.000 c 1.000 -0.965 1.000 d 0.901 -0.983 0.908 1.000 ******************************************************************************* Mon Oct 15 13:01:22 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3577.32 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.4423 initial set of free parameter values a = 100.487 b = -109.546 c = 100.239 d = 23.6025 After 10 iterations the fit converged. final sum of squares of residuals : 3576.83 rel. change during last iteration : -9.7821e-06 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.74523 variance of residuals (reduced chisquare) = WSSR/ndf : 14.0268 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.189 +/- 15.76 (15.73%) b = -109.746 +/- 11.8 (10.76%) c = 99.963 +/- 17.01 (17.02%) d = 23.6718 +/- 1.95 (8.239%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.961 1.000 c 1.000 -0.966 1.000 d 0.902 -0.983 0.908 1.000 ******************************************************************************* Mon Oct 15 13:01:23 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3576.83 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.42455 initial set of free parameter values a = 100.189 b = -109.746 c = 99.963 d = 23.6718 After 1 iterations the fit converged. final sum of squares of residuals : 3576.8 rel. change during last iteration : -8.97946e-06 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.74522 variance of residuals (reduced chisquare) = WSSR/ndf : 14.0267 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.161 +/- 15.78 (15.75%) b = -109.761 +/- 11.82 (10.77%) c = 99.9369 +/- 17.03 (17.05%) d = 23.6774 +/- 1.951 (8.242%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.961 1.000 c 1.000 -0.966 1.000 d 0.902 -0.983 0.908 1.000 ******************************************************************************* Mon Oct 15 13:06:24 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3576.8 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.4232 initial set of free parameter values a = 100.161 b = -109.761 c = 99.9369 d = 23.6774 After 1 iterations the fit converged. final sum of squares of residuals : 3576.77 rel. change during last iteration : -8.33953e-06 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.7452 variance of residuals (reduced chisquare) = WSSR/ndf : 14.0265 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 100.133 +/- 15.8 (15.78%) b = -109.776 +/- 11.83 (10.78%) c = 99.911 +/- 17.06 (17.07%) d = 23.6829 +/- 1.953 (8.245%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.962 1.000 c 1.000 -0.966 1.000 d 0.902 -0.983 0.908 1.000 ******************************************************************************* Mon Oct 15 13:12:32 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.69724e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 24.6443 initial set of free parameter values a = 1 b = 1 c = 1 d = 1 After 12 iterations the fit converged. final sum of squares of residuals : 1.57333e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5489 variance of residuals (reduced chisquare) = WSSR/ndf : 6169.94 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01336 +/- 0.004085 (0.4031%) b = 0.999737 +/- 14.57 (1458%) c = 0.987738 +/- 0.004463 (0.4518%) d = 1.0011 +/- 2.331 (232.9%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.262 1.000 c -0.148 0.220 1.000 d 0.311 0.939 0.290 1.000 ******************************************************************************* Mon Oct 15 13:12:33 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57333e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 892.587 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.987738 d = 1.0011 After 1 iterations the fit converged. final sum of squares of residuals : 1.57333e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5489 variance of residuals (reduced chisquare) = WSSR/ndf : 6169.94 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01336 +/- 0.004085 (0.4031%) b = 0.999737 +/- 14.57 (1458%) c = 0.987738 +/- 0.004463 (0.4518%) d = 1.0011 +/- 2.331 (232.9%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.262 1.000 c -0.148 0.220 1.000 d 0.311 0.939 0.290 1.000 ******************************************************************************* Mon Oct 15 13:12:34 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57333e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 892.587 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.987738 d = 1.0011 After 1 iterations the fit converged. final sum of squares of residuals : 1.57333e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5489 variance of residuals (reduced chisquare) = WSSR/ndf : 6169.94 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01336 +/- 0.004085 (0.4031%) b = 0.999737 +/- 14.57 (1458%) c = 0.987738 +/- 0.004463 (0.4518%) d = 1.0011 +/- 2.331 (232.9%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.262 1.000 c -0.148 0.220 1.000 d 0.311 0.939 0.290 1.000 ******************************************************************************* Mon Oct 15 13:13:03 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57333e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 892.587 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.987738 d = 1.0011 After 1 iterations the fit converged. final sum of squares of residuals : 1.57333e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5489 variance of residuals (reduced chisquare) = WSSR/ndf : 6169.94 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01336 +/- 0.004085 (0.4031%) b = 0.999737 +/- 14.57 (1458%) c = 0.987738 +/- 0.004463 (0.4518%) d = 1.0011 +/- 2.331 (232.9%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.262 1.000 c -0.148 0.220 1.000 d 0.311 0.939 0.290 1.000 ******************************************************************************* Mon Oct 15 13:13:05 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57333e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 892.587 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.987738 d = 1.0011 After 1 iterations the fit converged. final sum of squares of residuals : 1.57333e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5489 variance of residuals (reduced chisquare) = WSSR/ndf : 6169.94 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01336 +/- 0.004085 (0.4031%) b = 0.999737 +/- 14.57 (1458%) c = 0.987738 +/- 0.004463 (0.4518%) d = 1.0011 +/- 2.331 (232.9%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.262 1.000 c -0.148 0.220 1.000 d 0.311 0.939 0.290 1.000 ******************************************************************************* Mon Oct 15 13:13:19 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.53472e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1030.66 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.987738 After 1 iterations the fit converged. final sum of squares of residuals : 1.53472e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 77.4273 variance of residuals (reduced chisquare) = WSSR/ndf : 5994.99 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Oct 15 13:13:30 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.54432e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 740.149 initial set of free parameter values a = 1.01336 b = 0.999737 c = 0.988726 d = 1.0011 After 5 iterations the fit converged. final sum of squares of residuals : 1.53682e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 77.632 variance of residuals (reduced chisquare) = WSSR/ndf : 6026.73 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Oct 15 13:13:37 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.53656e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1081.95 initial set of free parameter values a = 1.01338 c = 0.988634 d = 1.0021 After 6 iterations the fit converged. final sum of squares of residuals : 1.53428e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 77.4162 variance of residuals (reduced chisquare) = WSSR/ndf : 5993.27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01344 +/- 0.004564 (0.4503%) c = 0.987455 +/- 0.003142 (0.3182%) d = 1.00211 +/- 0.8246 (82.29%) correlation matrix of the fit parameters: a c d a 1.000 c -0.345 1.000 d 0.455 -0.084 1.000 ******************************************************************************* Mon Oct 15 13:13:38 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.53428e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1193.34 initial set of free parameter values a = 1.01344 c = 0.987455 d = 1.00211 After 1 iterations the fit converged. final sum of squares of residuals : 1.53428e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 256 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 77.4162 variance of residuals (reduced chisquare) = WSSR/ndf : 5993.27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01344 +/- 0.004564 (0.4503%) c = 0.987455 +/- 0.003142 (0.3182%) d = 1.00211 +/- 0.8246 (82.29%) correlation matrix of the fit parameters: a c d a 1.000 c -0.345 1.000 d 0.455 -0.084 1.000 ******************************************************************************* Mon Oct 15 13:13:45 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57288e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1033.46 initial set of free parameter values a = 1.01344 b = 0.999737 c = 0.987455 d = 1.00211 After 2 iterations the fit converged. final sum of squares of residuals : 1.57194e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5142 variance of residuals (reduced chisquare) = WSSR/ndf : 6164.48 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01274 +/- 0.003999 (0.3949%) b = 0.999735 +/- 14.59 (1459%) c = 0.987592 +/- 0.005532 (0.5602%) d = 1.00212 +/- 2.429 (242.4%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.241 1.000 c -0.324 0.253 1.000 d 0.192 0.926 0.442 1.000 ******************************************************************************* Mon Oct 15 13:13:46 2007 FIT: data read from "temp" using 2:3 #datapoints = 259 residuals are weighted equally (unit weight) function used for fitting: y(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.57194e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 934.687 initial set of free parameter values a = 1.01274 b = 0.999735 c = 0.987592 d = 1.00212 After 1 iterations the fit converged. final sum of squares of residuals : 1.57194e+06 rel. change during last iteration : 0 degrees of freedom (ndf) : 255 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 78.5142 variance of residuals (reduced chisquare) = WSSR/ndf : 6164.48 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.01274 +/- 0.003999 (0.3949%) b = 0.999735 +/- 14.59 (1459%) c = 0.987592 +/- 0.005532 (0.5602%) d = 1.00212 +/- 2.429 (242.4%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.241 1.000 c -0.324 0.253 1.000 d 0.192 0.926 0.442 1.000