*******************************************************************************
Fri Oct 27 21:50:01 2017


FIT:    data read from "adv-lamb.csv" every ::1 using 2:5
        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        : 0.227572          delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707341

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 0.000107016
rel. change during last iteration : -2.47553e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00104499
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.092e-06

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

a               = -0.00321702      +/- 0.1044       (3244%)
b               = 0.978108         +/- 0.002685     (0.2745%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.999  1.000 


*******************************************************************************
Fri Oct 27 21:50:01 2017


FIT:    data read from "adv-lamb.csv" every ::1 using 4:5
        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        : 91.541            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.967948

initial set of free parameter values

aa              = 1
bb              = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 1.03526e-11
rel. change during last iteration : -9.82363e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 3.25022e-07
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.05639e-13

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

aa              = 0.337001         +/- 1.059e-05    (0.003142%)
bb              = 0.662998         +/- 9.898e-06    (0.001493%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Fri Oct 27 21:50:01 2017


FIT:    data read from "adv-lamb.csv" every ::1 using 4:6
        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        : 96.0949           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.967948

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 1.22269e-11
rel. change during last iteration : -1.20095e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 3.5322e-07
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.24764e-13

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

aaa             = 0.69757          +/- 1.151e-05    (0.00165%)
bbb             = 0.30243          +/- 1.076e-05    (0.003557%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Fri Oct 27 21:50:01 2017


FIT:    data read from "adv-lamb.csv" every ::1 using 3:6
        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        : 0.21759           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 0.000458526
rel. change during last iteration : -2.92992e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00216306
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.67884e-06

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

aaaa            = 0.999948         +/- 1.728e+14    (1.728e+16%)
bbbb            = 0.953403         +/- 1.92e+11     (2.014e+13%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000