

*******************************************************************************
Wed Oct 25 19:14:24 2017


FIT:    data read from "4x4xX.csv" every ::1 using 1:5
        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        : 1.32625e+09       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 : 7.7143e+07
rel. change during last iteration : -3.63726e-13

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 508.792
variance of residuals (reduced chisquare) = WSSR/ndf   : 258869

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

a               = -6.4547e+06      +/- 8.988e+05    (13.92%)
b               = 2603.14          +/- 84.97        (3.264%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.938  1.000 


*******************************************************************************
Wed Oct 25 19:14:24 2017


FIT:    data read from "4x4xX.csv" every ::1 using 3:5
        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        : 1.32546e+09       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.84538

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 8.94193e+07
rel. change during last iteration : -1.93107e-12

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 547.782
variance of residuals (reduced chisquare) = WSSR/ndf   : 300065

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

aa              = -1884.14         +/- 995.6        (52.84%)
bb              = 3263.68          +/- 652.3        (19.99%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.999  1.000 


*******************************************************************************
Wed Oct 25 19:14:24 2017


FIT:    data read from "4x4xX.csv" every ::1 using 3:4
        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        : 3.18416e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.84538

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 9837.05
rel. change during last iteration : -4.26287e-10

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 5.74545
variance of residuals (reduced chisquare) = WSSR/ndf   : 33.0102

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

aaa             = -390.954         +/- 10.44        (2.671%)
bbb             = 359.628          +/- 6.842        (1.903%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.999  1.000 


*******************************************************************************
Wed Oct 25 19:14:24 2017


FIT:    data read from "4x4xX.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.22367e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.70713

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 13663.3
rel. change during last iteration : -1.10647e-09

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.77125
variance of residuals (reduced chisquare) = WSSR/ndf   : 45.8499

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

aaaa            = -6441.69         +/- 211.7        (3.287%)
bbbb            = 154.627          +/- 1.717        (1.11%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.974  1.000 
