*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 5.3712e+08        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

a               = 1
b               = 1

After 7 iterations the fit converged.
final sum of squares of residuals : 2.31113e+07
rel. change during last iteration : -1.94885e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 485.622
variance of residuals (reduced chisquare) = WSSR/ndf   : 235829

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

a               = -2.48881e+07     +/- 6.082e+06    (24.44%)
b               = 3784.57          +/- 375.9        (9.931%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.992  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 5.3684e+08        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.831115

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 2.25731e+07
rel. change during last iteration : -7.03747e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 479.935
variance of residuals (reduced chisquare) = WSSR/ndf   : 230338

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

aa              = 23500.6          +/- 5325         (22.66%)
bb              = -12254.4         +/- 3289         (26.84%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.38452e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.831115

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 1849.66
rel. change during last iteration : -2.46715e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 4.34443
variance of residuals (reduced chisquare) = WSSR/ndf   : 18.8741

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

aaa             = -271.314         +/- 48.2         (17.77%)
bbb             = 286.74           +/- 29.77        (10.38%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.39893e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707119

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 2447.69
rel. change during last iteration : -3.53005e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 4.99764
variance of residuals (reduced chisquare) = WSSR/ndf   : 24.9765

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

aaaa            = 1.69981          +/- 9.656e+16    (5.681e+18%)
bbbb            = 119.169          +/- 5.718e+14    (4.798e+14%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000