

*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "25_28-points.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.36082e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707197

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 608699
rel. change during last iteration : -1.44325e-11

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 45.1953
variance of residuals (reduced chisquare) = WSSR/ndf   : 2042.61

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

a               = -4438.07         +/- 1457         (32.84%)
b               = 279.348          +/- 23.24        (8.318%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.994  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "25_28-points.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.34954e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.961372

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 624483
rel. change during last iteration : -5.6311e-09

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 45.7775
variance of residuals (reduced chisquare) = WSSR/ndf   : 2095.58

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aa              = 303.118          +/- 246.8        (81.43%)
bb              = -70.1643         +/- 227.3        (324%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "25_28-points.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.84922e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.961372

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 38.1466
rel. change during last iteration : -6.10114e-11

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.357783
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.128009

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaa             = -3133.45         +/- 1.929        (0.06156%)
bbb             = 3134.02          +/- 1.777        (0.0567%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
