

*******************************************************************************
Tue Oct 24 02:28:00 2017


FIT:    data read from "55_to_1010.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.627e+07         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707427

initial set of free parameter values

a               = 1
b               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 2.4082e+06
rel. change during last iteration : -8.58918e-08

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 88.4241
variance of residuals (reduced chisquare) = WSSR/ndf   : 7818.83

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

a               = 11361.2          +/- 515.6        (4.538%)
b               = -10.818          +/- 15.51        (143.3%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.946  1.000 


*******************************************************************************
Tue Oct 24 02:28:00 2017


FIT:    data read from "55_to_1010.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.60888e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.980932

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 1.67477e+06
rel. change during last iteration : -7.73616e-09

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 73.7398
variance of residuals (reduced chisquare) = WSSR/ndf   : 5437.55

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

aa              = 4480.74          +/- 155.2        (3.465%)
bb              = -3994.01         +/- 149.3        (3.737%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:28:00 2017


FIT:    data read from "55_to_1010.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.70805e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.980932

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 22.7366
rel. change during last iteration : -5.78146e-14

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.271698
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.07382

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

aaa             = -3140.63         +/- 0.572        (0.01821%)
bbb             = 3140.67          +/- 0.55         (0.01751%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:28:00 2017


FIT:    data read from "55_to_1010.csv" every ::1 using 3:6
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.77844e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.70711

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 147912
rel. change during last iteration : -4.19318e-08

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 21.9143
variance of residuals (reduced chisquare) = WSSR/ndf   : 480.235

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

aaaa            = -58205.4         +/- 884.9        (1.52%)
bbbb            = 275.735          +/- 2.645        (0.9594%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.882  1.000 
