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


FIT:    data read from "20171013_3dFit_4x4x7_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        : 4.17059e+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 : 1.87465e+07
rel. change during last iteration : -3.45833e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 437.368
variance of residuals (reduced chisquare) = WSSR/ndf   : 191291

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

a               = -1.04278e+07     +/- 2.15e+06     (20.62%)
b               = 2804.5           +/- 174.4        (6.22%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.968  1.000 


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


FIT:    data read from "20171013_3dFit_4x4x7_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        : 4.16784e+08       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.860178

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 2.30326e+07
rel. change during last iteration : -2.46431e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 484.795
variance of residuals (reduced chisquare) = WSSR/ndf   : 235026

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

aa              = 7203.94          +/- 7544         (104.7%)
bb              = -3004.38         +/- 5226         (173.9%)


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 "20171013_3dFit_4x4x7_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        : 770224            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.860178

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 3831.77
rel. change during last iteration : -2.81552e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.25298
variance of residuals (reduced chisquare) = WSSR/ndf   : 39.0997

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

aaa             = -284.393         +/- 97.31        (34.22%)
bbb             = 286.203          +/- 67.4         (23.55%)


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 "20171013_3dFit_4x4x7_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        : 782212            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707145

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 4165.76
rel. change during last iteration : -1.15562e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.51979
variance of residuals (reduced chisquare) = WSSR/ndf   : 42.5077

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

aaaa            = 1.91405          +/- 1.245e+17    (6.505e+18%)
bbbb            = 89.1974          +/- 1.29e+15     (1.447e+15%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000