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


FIT:    data read from "20171013_3dFit_5x4x4_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        : 8.41899e+07       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 : 8.72636e+06
rel. change during last iteration : -9.16821e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 298.403
variance of residuals (reduced chisquare) = WSSR/ndf   : 89044.5

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

a               = -1.15579e+06     +/- 1.468e+06    (127%)
b               = 1020.47          +/- 194.2        (19.03%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.988  1.000 


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


FIT:    data read from "20171013_3dFit_5x4x4_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        : 8.40737e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.850561

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 7.83163e+06
rel. change during last iteration : -4.61976e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 282.692
variance of residuals (reduced chisquare) = WSSR/ndf   : 79914.6

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

aa              = 10438.1          +/- 3028         (29%)
bb              = -6107.9          +/- 2024         (33.14%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171013_3dFit_5x4x4_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        : 997151            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.850561

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 4984.54
rel. change during last iteration : -5.99309e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.1318
variance of residuals (reduced chisquare) = WSSR/ndf   : 50.8626

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

aaa             = -241.373         +/- 76.38        (31.64%)
bbb             = 262.595          +/- 51.06        (19.44%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171013_3dFit_5x4x4_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        : 1.01036e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707126

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 5492.5
rel. change during last iteration : -1.13205e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.48638
variance of residuals (reduced chisquare) = WSSR/ndf   : 56.0459

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

aaaa            = 1.74202          +/- 9.406e+16    (5.4e+18%)
bbbb            = 101.237          +/- 6.963e+14    (6.878e+14%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000