

*******************************************************************************
Wed Oct 25 19:09:05 2017


FIT:    data read from "all.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 910
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.69952e+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 6 iterations the fit converged.
final sum of squares of residuals : 5.77426e+08
rel. change during last iteration : -1.48436e-07

degrees of freedom    (FIT_NDF)                        : 908
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 797.454
variance of residuals (reduced chisquare) = WSSR/ndf   : 635932

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

a               = -5.38736e+06     +/- 8.165e+05    (15.16%)
b               = 1966.44          +/- 72.92        (3.708%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.932  1.000 


*******************************************************************************
Wed Oct 25 19:09:05 2017


FIT:    data read from "all.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 910
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.6977e+09        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.857335

initial set of free parameter values

aa              = 1
bb              = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 3.3878e+08
rel. change during last iteration : -3.41053e-07

degrees of freedom    (FIT_NDF)                        : 908
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 610.824
variance of residuals (reduced chisquare) = WSSR/ndf   : 373106

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

aa              = -8301.78         +/- 310.7        (3.743%)
bb              = 7184             +/- 213          (2.965%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.995  1.000 


*******************************************************************************
Wed Oct 25 19:09:05 2017


FIT:    data read from "all.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 910
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 8.64029e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.857335

initial set of free parameter values

aaa             = 1
bbb             = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 44319.2
rel. change during last iteration : -3.6749e-06

degrees of freedom    (FIT_NDF)                        : 908
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.98639
variance of residuals (reduced chisquare) = WSSR/ndf   : 48.8097

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

aaa             = -292.832         +/- 3.554        (1.214%)
bbb             = 296.825          +/- 2.437        (0.8209%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.995  1.000 


*******************************************************************************
Wed Oct 25 19:09:05 2017


FIT:    data read from "all.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 910
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 8.75529e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707146

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 84605.2
rel. change during last iteration : -1.31864e-06

degrees of freedom    (FIT_NDF)                        : 908
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 9.65285
variance of residuals (reduced chisquare) = WSSR/ndf   : 93.1775

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

aaaa            = -4091.03         +/- 73.19        (1.789%)
bbbb            = 136.014          +/- 0.7684       (0.5649%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.909  1.000 
