******************************************************************************* Thu Nov 11 17:51:11 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 250 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.0458511 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.31997 initial set of free parameter values a = 0.0136 b = 0.001 w = 0.0387 t = 0.1 c = -1.01 After 11 iterations the fit converged. final sum of squares of residuals : 0.000215669 rel. change during last iteration : -1.10056e-06 degrees of freedom (ndf) : 245 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000938232 variance of residuals (reduced chisquare) = WSSR/ndf : 8.8028e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0191787 +/- 0.0002067 (1.078%) b = 0.00113951 +/- 4.417e-05 (3.876%) w = 0.0390873 +/- 3.861e-05 (0.09878%) t = 1.77528 +/- 0.009584 (0.5399%) c = -1.01427 +/- 6.119e-05 (0.006033%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.844 1.000 w 0.068 0.032 1.000 t 0.096 0.064 0.812 1.000 c -0.221 -0.236 -0.014 0.005 1.000 ******************************************************************************* Thu Nov 11 18:15:19 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 165 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.150355 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.33927 initial set of free parameter values a = 0.0191787 b = 0.00113951 w = 0.0390873 t = 1.77528 c = -1.01427 After 5 iterations the fit converged. final sum of squares of residuals : 0.00026259 rel. change during last iteration : -1.58974e-08 degrees of freedom (ndf) : 160 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.00128109 variance of residuals (reduced chisquare) = WSSR/ndf : 1.64119e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0278444 +/- 0.000353 (1.268%) b = 0.00138234 +/- 7.623e-05 (5.515%) w = 0.0384202 +/- 6.538e-05 (0.1702%) t = 1.62806 +/- 0.01097 (0.6737%) c = -0.984871 +/- 0.0001087 (0.01104%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.865 1.000 w 0.074 0.007 1.000 t 0.143 0.089 0.820 1.000 c -0.361 -0.394 0.029 -0.002 1.000 ******************************************************************************* Thu Nov 11 18:17:05 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 200 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.199992 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.98449 initial set of free parameter values a = 0.0278444 b = 0.00138234 w = 0.0384202 t = 1.62806 c = -0.984871 After 9 iterations the fit converged. final sum of squares of residuals : 0.000329106 rel. change during last iteration : -3.37308e-08 degrees of freedom (ndf) : 195 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.00129912 variance of residuals (reduced chisquare) = WSSR/ndf : 1.68772e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.029903 +/- 0.0002861 (0.9569%) b = 0.0012693 +/- 4.817e-05 (3.795%) w = 0.0386047 +/- 4.981e-05 (0.129%) t = 1.22208 +/- 0.0102 (0.8344%) c = -0.98473 +/- 9.348e-05 (0.009493%) correlation matrix of the fit parameters: a b w t c a 1.000 b -0.816 1.000 w -0.081 0.017 1.000 t -0.125 0.072 0.836 1.000 c -0.124 0.024 0.024 0.042 1.000 ******************************************************************************* Thu Nov 11 18:26:39 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.458121 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 2.45808 initial set of free parameter values a = -0.029903 b = 0.0012693 w = 0.0386047 t = 1.22208 c = -0.98473 After 9 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : -1.10296e-07 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002192 (0.8254%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 1.84155 +/- 0.007355 (0.3994%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.846 1.000 w 0.027 -0.021 1.000 t 0.066 0.028 0.812 1.000 c -0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 18:31:42 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.45684 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 2.29262 initial set of free parameter values a = 0.0265612 b = 0.00113724 w = 0.0389085 t = 1.84155 c = -1.01772 After 8 iterations the fit converged. final sum of squares of residuals : 0.000494851 rel. change during last iteration : -1.38315e-07 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.00143592 variance of residuals (reduced chisquare) = WSSR/ndf : 2.06188e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0298704 +/- 0.0003007 (1.007%) b = 0.00130037 +/- 4.386e-05 (3.373%) w = 0.0383598 +/- 4.3e-05 (0.1121%) t = 1.19228 +/- 0.01047 (0.8779%) c = -0.984841 +/- 9.515e-05 (0.009662%) correlation matrix of the fit parameters: a b w t c a 1.000 b -0.822 1.000 w -0.089 0.044 1.000 t -0.123 0.085 0.829 1.000 c -0.235 0.252 0.079 0.088 1.000 ******************************************************************************* Thu Nov 11 18:35:06 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.307481 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.629633 initial set of free parameter values a = -0.0298704 b = 0.00130037 w = 0.0383598 t = 1.19228 c = -0.984841 After 109 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : -1.23234e-06 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.24055 +/- 0.1508 (12.15%) b = 0.00113723 +/- 3.418e-05 (3.005%) w = 0.0389085 +/- 3.117e-05 (0.08012%) t = 4.54689 +/- 0.1111 (2.444%) c = -1.01772 +/- 6.547e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b -0.997 1.000 w 0.073 -0.141 1.000 t 0.070 -0.138 0.999 1.000 c 0.254 -0.256 0.063 0.063 1.000 ******************************************************************************* Thu Nov 11 18:35:38 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 109.717 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 104.4 initial set of free parameter values a = -1.24055 b = 0.00113723 w = 0.0389085 t = 4.54689 c = -1.01772 After 11 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : -6.88312e-07 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0265612 +/- 0.0002193 (0.8255%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 4.98314 +/- 0.007355 (0.1476%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b -0.846 1.000 w -0.028 -0.021 1.000 t -0.067 0.028 0.812 1.000 c 0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 18:36:26 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-12 lambda : 2.29253 initial set of free parameter values a = 0.02656 b = 0.00113724 w = 0.0389085 t = 1.84155 c = -1.01772 After 5 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : -8.31921e-14 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002192 (0.8254%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 1.84155 +/- 0.007355 (0.3994%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.846 1.000 w 0.027 -0.021 1.000 t 0.066 0.028 0.812 1.000 c -0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 18:36:45 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.29262 initial set of free parameter values a = 0.0265612 b = 0.00113724 w = 0.0389085 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002192 (0.8254%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 1.84155 +/- 0.007355 (0.3994%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.846 1.000 w 0.027 -0.021 1.000 t 0.066 0.028 0.812 1.000 c -0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 18:37:18 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 1.86413 initial set of free parameter values a = 0.0265612 b = 0.00113724 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 241 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000987287 variance of residuals (reduced chisquare) = WSSR/ndf : 9.74735e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002187 (0.8234%) b = 0.00113724 +/- 3.364e-05 (2.958%) t = 1.84155 +/- 0.004286 (0.2327%) c = -1.01772 +/- 6.52e-05 (0.006406%) correlation matrix of the fit parameters: a b t c a 1.000 b 0.847 1.000 t 0.076 0.077 1.000 c -0.230 -0.250 0.004 1.000 ******************************************************************************* Thu Nov 11 18:37:35 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.07364 initial set of free parameter values a = 0.0265612 b = 0.00113724 t = 1.84155 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 242 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000985245 variance of residuals (reduced chisquare) = WSSR/ndf : 9.70707e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002124 (0.7997%) b = 0.00113724 +/- 3.251e-05 (2.858%) t = 1.84155 +/- 0.004277 (0.2323%) correlation matrix of the fit parameters: a b t a 1.000 b 0.838 1.000 t 0.079 0.080 1.000 ******************************************************************************* Thu Nov 11 18:37:48 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.15249 initial set of free parameter values a = 0.0265612 b = 0.00113724 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 242 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000985245 variance of residuals (reduced chisquare) = WSSR/ndf : 9.70707e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002176 (0.8193%) b = 0.00113724 +/- 3.347e-05 (2.943%) c = -1.01772 +/- 6.506e-05 (0.006393%) correlation matrix of the fit parameters: a b c a 1.000 b 0.846 1.000 c -0.231 -0.251 1.000 ******************************************************************************* Thu Nov 11 18:37:57 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.07364 initial set of free parameter values a = 0.0265612 b = 0.00113724 t = 1.84155 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 242 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000985245 variance of residuals (reduced chisquare) = WSSR/ndf : 9.70707e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002124 (0.7997%) b = 0.00113724 +/- 3.251e-05 (2.858%) t = 1.84155 +/- 0.004277 (0.2323%) correlation matrix of the fit parameters: a b t a 1.000 b 0.838 1.000 t 0.079 0.080 1.000 ******************************************************************************* Thu Nov 11 18:38:03 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.53965 initial set of free parameter values a = 0.0265612 b = 0.00113724 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 243 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000983215 variance of residuals (reduced chisquare) = WSSR/ndf : 9.66713e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002113 (0.7956%) b = 0.00113724 +/- 3.233e-05 (2.843%) correlation matrix of the fit parameters: a b a 1.000 b 0.837 1.000 ******************************************************************************* Thu Nov 11 18:38:11 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 3.55029 initial set of free parameter values b = 0.00113724 After 5 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 244 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000981199 variance of residuals (reduced chisquare) = WSSR/ndf : 9.62751e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00113724 +/- 1.766e-05 (1.553%) correlation matrix of the fit parameters: b b 1.000 ******************************************************************************* Thu Nov 11 18:38:31 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.29262 initial set of free parameter values a = 0.0265612 b = 0.00113724 w = 0.0389085 t = 1.84155 c = -1.01772 After 3 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002192 (0.8254%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 1.84155 +/- 0.007355 (0.3994%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.846 1.000 w 0.027 -0.021 1.000 t 0.066 0.028 0.812 1.000 c -0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 18:38:54 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 1.86413 initial set of free parameter values a = 0.0265612 b = 0.00113724 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 241 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000987287 variance of residuals (reduced chisquare) = WSSR/ndf : 9.74735e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002187 (0.8234%) b = 0.00113724 +/- 3.364e-05 (2.958%) t = 1.84155 +/- 0.004286 (0.2327%) c = -1.01772 +/- 6.52e-05 (0.006406%) correlation matrix of the fit parameters: a b t c a 1.000 b 0.847 1.000 t 0.076 0.077 1.000 c -0.230 -0.250 0.004 1.000 ******************************************************************************* Thu Nov 11 18:39:18 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.12954 initial set of free parameter values b = 0.00113724 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 242 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000985245 variance of residuals (reduced chisquare) = WSSR/ndf : 9.70707e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 0.00113724 +/- 1.784e-05 (1.568%) t = 1.84155 +/- 0.004265 (0.2316%) c = -1.01772 +/- 6.332e-05 (0.006222%) correlation matrix of the fit parameters: b t c b 1.000 t 0.023 1.000 c -0.106 0.022 1.000 ******************************************************************************* Thu Nov 11 18:39:28 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 0.657099 initial set of free parameter values a = 0.0265612 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 242 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000985245 variance of residuals (reduced chisquare) = WSSR/ndf : 9.70707e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.000116 (0.4366%) t = 1.84155 +/- 0.004264 (0.2316%) c = -1.01772 +/- 6.3e-05 (0.006191%) correlation matrix of the fit parameters: a t c a 1.000 t 0.021 1.000 c -0.036 0.024 1.000 ******************************************************************************* Thu Nov 11 18:41:12 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 245 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.000234911 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-21 lambda : 2.29262 initial set of free parameter values a = 0.0265612 b = 0.00113724 w = 0.0389085 t = 1.84155 c = -1.01772 After 1 iterations the fit converged. final sum of squares of residuals : 0.000234911 rel. change during last iteration : 0 degrees of freedom (ndf) : 240 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000989341 variance of residuals (reduced chisquare) = WSSR/ndf : 9.78797e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0265612 +/- 0.0002192 (0.8254%) b = 0.00113724 +/- 3.372e-05 (2.965%) w = 0.0389085 +/- 3.087e-05 (0.07933%) t = 1.84155 +/- 0.007355 (0.3994%) c = -1.01772 +/- 6.546e-05 (0.006433%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.846 1.000 w 0.027 -0.021 1.000 t 0.066 0.028 0.812 1.000 c -0.228 -0.250 0.063 0.053 1.000 ******************************************************************************* Thu Nov 11 20:02:35 2004 FIT: data read from "tutor.prn" u ($2/3600):1 #datapoints = 34200 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 6.36405e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 8.40617 initial set of free parameter values m = 1 b = 1 After 3 iterations the fit converged. final sum of squares of residuals : 0.792877 rel. change during last iteration : -2.92782e-08 degrees of freedom (ndf) : 34198 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.00481507 variance of residuals (reduced chisquare) = WSSR/ndf : 2.31849e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.000632093 +/- 4.747e-06 (0.751%) b = -0.998426 +/- 5.623e-05 (0.005632%) correlation matrix of the fit parameters: m b m 1.000 b -0.886 1.000 ******************************************************************************* Thu Nov 11 20:04:46 2004 FIT: data read from "tutor.prn" u ($2/3600):1 #datapoints = 18000 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 37.7917 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 21.6745 initial set of free parameter values m = 0.000632093 b = -0.998426 After 3 iterations the fit converged. final sum of squares of residuals : 0.568499 rel. change during last iteration : -7.95475e-07 degrees of freedom (ndf) : 17998 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.00562021 variance of residuals (reduced chisquare) = WSSR/ndf : 3.15868e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== m = -0.000931702 +/- 1.451e-05 (1.558%) b = -0.995981 +/- 0.0004446 (0.04464%) correlation matrix of the fit parameters: m b m 1.000 b -0.996 1.000 ******************************************************************************* Thu Nov 11 22:04:07 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 250 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Nov 11 22:04:49 2004 FIT: data read from "tutor.prn" u 2:1 #datapoints = 250 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.0534934 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.85944 initial set of free parameter values a = 0.02 b = 0.001 w = 0.04 t = 1.8 c = -1 After 5 iterations the fit converged. final sum of squares of residuals : 0.000215669 rel. change during last iteration : -2.38735e-08 degrees of freedom (ndf) : 245 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 0.000938232 variance of residuals (reduced chisquare) = WSSR/ndf : 8.8028e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0191787 +/- 0.0002067 (1.078%) b = 0.00113951 +/- 4.417e-05 (3.876%) w = 0.0390873 +/- 3.861e-05 (0.09878%) t = 1.77529 +/- 0.009584 (0.5399%) c = -1.01427 +/- 6.119e-05 (0.006033%) correlation matrix of the fit parameters: a b w t c a 1.000 b 0.844 1.000 w 0.068 0.032 1.000 t 0.096 0.064 0.812 1.000 c -0.221 -0.236 -0.014 0.005 1.000