MasterMind/data/fit.log

*******************************************************************************
Wed Jan 29 13:25:44 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:25:51 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:26:00 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:26:42 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:26:45 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:27:00 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:27:38 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:28:51 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:28:57 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = m*x + b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m             b            
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m               = -0.130367        +/- 0.01346      (10.33%)
b               = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m      b      
m               1.000 
b              -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:29:45 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = -0.130367        +/- 0.01346      (10.33%)
b1              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:44 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = -0.130367        +/- 0.01346      (10.33%)
b1              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:44 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = -0.130367        +/- 0.01346      (10.33%)
b2              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:44 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 2.18767
rel. change during last iteration : -5.17642e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = -0.225823        +/- 0.02452      (10.86%)
b3              = 4.49637          +/- 0.3127       (6.954%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:46 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = -0.130367        +/- 0.01346      (10.33%)
b1              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:46 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = -0.130367        +/- 0.01346      (10.33%)
b2              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:30:46 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 2.18767
rel. change during last iteration : -5.17642e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = -0.225823        +/- 0.02452      (10.86%)
b3              = 4.49637          +/- 0.3127       (6.954%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:31:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 0.659675
rel. change during last iteration : -4.35893e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = -0.130367        +/- 0.01346      (10.33%)
b1              = 2.72151          +/- 0.1717       (6.309%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:31:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 2.18767
rel. change during last iteration : -5.17642e-14

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = -0.225823        +/- 0.02452      (10.86%)
b2              = 4.49637          +/- 0.3127       (6.954%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:31:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 2.1520503820e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00
   5 1.5550969595e+00  -1.17e-08  9.05e-05   -2.598467e-01   5.453341e+00

After 5 iterations the fit converged.
final sum of squares of residuals : 1.5551
rel. change during last iteration : -1.17227e-13

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.345865
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.119623

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = -0.259847        +/- 0.02067      (7.954%)
b3              = 5.45334          +/- 0.2636       (4.834%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.941  1.000 


*******************************************************************************
Wed Jan 29 13:33:31 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.3200638587e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   4 1.1449527194e+01  -3.91e-01  4.13e-03    1.658044e-02   5.216569e-01

After 4 iterations the fit converged.
final sum of squares of residuals : 11.4495
rel. change during last iteration : -3.91428e-06

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.343564
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.118036

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0165804        +/- 0.001208     (7.287%)
b1              = 0.521657         +/- 0.07064      (13.54%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.872  1.000 


*******************************************************************************
Wed Jan 29 13:33:31 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.1655257107e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   4 4.7803840605e+01  -2.58e-02  4.13e-03    3.666389e-02   7.425139e-01

After 4 iterations the fit converged.
final sum of squares of residuals : 47.8038
rel. change during last iteration : -2.57732e-07

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.702014
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.492823

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0366639        +/- 0.002469     (6.734%)
b2              = 0.742514         +/- 0.1443       (19.44%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.872  1.000 


*******************************************************************************
Wed Jan 29 13:33:31 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.1084249831e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   4 5.6282156098e+01  -8.01e-02  4.13e-03    3.488116e-02   1.450507e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 56.2822
rel. change during last iteration : -8.00559e-07

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.761727
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.580228

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0348812        +/- 0.002679     (7.68%)
b3              = 1.45051          +/- 0.1566       (10.8%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.872  1.000 


*******************************************************************************
Wed Jan 29 13:41:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.203936
rel. change during last iteration : -2.23748e-13

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0444246        +/- 0.001243     (2.797%)
b1              = -0.159859        +/- 0.03079      (19.26%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:41:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

After 4 iterations the fit converged.
final sum of squares of residuals : 2.22432
rel. change during last iteration : -9.21847e-06

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.06784          +/- 0.004104     (6.049%)
b2              = -0.193732        +/- 0.1017       (52.49%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:41:15 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.668842
rel. change during last iteration : -8.39918e-14

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.108813         +/- 0.00225      (2.068%)
b3              = -0.278937        +/- 0.05577      (19.99%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:41:42 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.203936
rel. change during last iteration : -2.23748e-13

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0444246        +/- 0.001243     (2.797%)
b1              = -0.159859        +/- 0.03079      (19.26%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:41:42 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

After 4 iterations the fit converged.
final sum of squares of residuals : 2.22432
rel. change during last iteration : -9.21847e-06

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.06784          +/- 0.004104     (6.049%)
b2              = -0.193732        +/- 0.1017       (52.49%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:41:42 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.668842
rel. change during last iteration : -8.39918e-14

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.108813         +/- 0.00225      (2.068%)
b3              = -0.278937        +/- 0.05577      (19.99%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:42:41 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.203936
rel. change during last iteration : -2.23748e-13

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0444246        +/- 0.001243     (2.797%)
b1              = -0.159859        +/- 0.03079      (19.26%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:42:41 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

After 4 iterations the fit converged.
final sum of squares of residuals : 2.22432
rel. change during last iteration : -9.21847e-06

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.06784          +/- 0.004104     (6.049%)
b2              = -0.193732        +/- 0.1017       (52.49%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:42:42 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 36
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00
   5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.668842
rel. change during last iteration : -8.39918e-14

degrees of freedom    (FIT_NDF)                        : 34
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.108813         +/- 0.00225      (2.068%)
b3              = -0.278937        +/- 0.05577      (19.99%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.908  1.000 


*******************************************************************************
Wed Jan 29 13:44:44 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 46
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 4.2576013999e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00
   5 1.3962805875e-01  -8.08e-08  2.16e-04    3.883367e-02  -1.855936e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.139628
rel. change during last iteration : -8.0805e-13

degrees of freedom    (FIT_NDF)                        : 44
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0563326
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00317336

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0388337        +/- 0.0006256    (1.611%)
b1              = -0.185594        +/- 0.0191       (10.29%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.901  1.000 


*******************************************************************************
Wed Jan 29 13:44:45 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 46
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 4.1105552506e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00
   5 1.1749932166e+00  -1.06e-08  2.16e-04    5.807995e-02  -2.486640e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.17499
rel. change during last iteration : -1.05826e-13

degrees of freedom    (FIT_NDF)                        : 44
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.163415
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0267044

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.05808          +/- 0.001815     (3.125%)
b2              = -0.248664        +/- 0.05542      (22.29%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.901  1.000 


*******************************************************************************
Wed Jan 29 13:44:45 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 46
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.8754496991e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00
   5 1.3945618361e+00  -1.04e-08  2.16e-04    8.925655e-02  -3.414372e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.39456
rel. change during last iteration : -1.04449e-13

degrees of freedom    (FIT_NDF)                        : 44
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.17803
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0316946

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0892566        +/- 0.001977     (2.215%)
b3              = -0.341437        +/- 0.06038      (17.68%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.901  1.000 


*******************************************************************************
Wed Jan 29 13:45:35 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 56
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 7.3157879773e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00
   5 1.9786957810e-01  -1.28e-07  2.57e-04    3.387037e-02  -1.973318e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.19787
rel. change during last iteration : -1.27718e-12

degrees of freedom    (FIT_NDF)                        : 54
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0605331
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00366425

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0338704        +/- 0.0005005    (1.478%)
b1              = -0.197332        +/- 0.01817      (9.206%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.895  1.000 


*******************************************************************************
Wed Jan 29 13:45:35 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 56
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 7.1341411301e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00
   5 1.8836159776e+00  -1.43e-08  2.57e-04    4.732793e-02  -2.377508e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.88362
rel. change during last iteration : -1.43463e-13

degrees of freedom    (FIT_NDF)                        : 54
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.186767
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0348818

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0473279        +/- 0.001544     (3.263%)
b2              = -0.237751        +/- 0.05605      (23.57%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.895  1.000 


*******************************************************************************
Wed Jan 29 13:45:35 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 56
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 6.7949701907e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00
   5 2.3979739405e+00  -1.45e-08  2.57e-04    7.495197e-02  -3.968586e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.39797
rel. change during last iteration : -1.44636e-13

degrees of freedom    (FIT_NDF)                        : 54
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.21073
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0444069

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.074952         +/- 0.001742     (2.324%)
b3              = -0.396859        +/- 0.06324      (15.93%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.895  1.000 


*******************************************************************************
Wed Jan 29 13:46:34 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 66
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 1.1593739868e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00
   5 2.3865854611e-01  -2.13e-07  2.98e-04    2.889376e-02  -1.917072e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.238659
rel. change during last iteration : -2.12791e-12

degrees of freedom    (FIT_NDF)                        : 64
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0610659
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00372904

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0288938        +/- 0.0003946    (1.366%)
b1              = -0.191707        +/- 0.0166       (8.657%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.892  1.000 


*******************************************************************************
Wed Jan 29 13:46:34 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 66
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 1.1356532168e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00
   5 2.1856883956e+00  -2.28e-08  2.98e-04    3.893238e-02  -1.815339e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.18569
rel. change during last iteration : -2.28375e-13

degrees of freedom    (FIT_NDF)                        : 64
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.184801
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0341514

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0389324        +/- 0.001194     (3.067%)
b2              = -0.181534        +/- 0.05022      (27.67%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.892  1.000 


*******************************************************************************
Wed Jan 29 13:46:34 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 66
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 1.0907822333e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00
   5 3.1766746014e+00  -2.17e-08  2.98e-04    6.294533e-02  -3.842156e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 3.17667
rel. change during last iteration : -2.16685e-13

degrees of freedom    (FIT_NDF)                        : 64
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.22279
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0496355

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0629453        +/- 0.00144      (2.287%)
b3              = -0.384216        +/- 0.06055      (15.76%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.892  1.000 


*******************************************************************************
Wed Jan 29 13:47:32 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 76
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 1.7280946624e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00
   5 3.4064038723e-01  -2.87e-07  3.38e-04    2.534961e-02  -1.994657e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.34064
rel. change during last iteration : -2.86909e-12

degrees of freedom    (FIT_NDF)                        : 74
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0678472
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00460325

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0253496        +/- 0.0003548    (1.399%)
b1              = -0.199466        +/- 0.01697      (8.507%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.889  1.000 


*******************************************************************************
Wed Jan 29 13:47:32 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 76
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 1.6985522844e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00
   5 2.7031299083e+00  -3.76e-08  3.38e-04    3.434892e-02  -2.226343e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.70313
rel. change during last iteration : -3.76217e-13

degrees of freedom    (FIT_NDF)                        : 74
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.191125
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0365288

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0343489        +/- 0.0009994    (2.909%)
b2              = -0.222634        +/- 0.0478       (21.47%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.889  1.000 


*******************************************************************************
Wed Jan 29 13:47:33 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 76
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 1.6416044624e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00
   5 3.5721284977e+00  -3.57e-08  3.38e-04    5.375418e-02  -3.664801e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 3.57213
rel. change during last iteration : -3.56552e-13

degrees of freedom    (FIT_NDF)                        : 74
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.219709
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.048272

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0537542        +/- 0.001149     (2.137%)
b3              = -0.36648         +/- 0.05495      (14.99%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.889  1.000 


*******************************************************************************
Wed Jan 29 13:48:10 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 86
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 2.4559702445e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00
   5 7.9964630872e-01  -2.30e-07  3.79e-04    2.331105e-02  -2.299169e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.799646
rel. change during last iteration : -2.30182e-12

degrees of freedom    (FIT_NDF)                        : 84
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0975684
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0095196

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.023311         +/- 0.0004238    (1.818%)
b1              = -0.229917        +/- 0.02271      (9.88%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.886  1.000 


*******************************************************************************
Wed Jan 29 13:48:11 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 86
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 2.4248252316e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00
   5 2.1031710562e+00  -8.20e-08  3.79e-04    2.901065e-02  -1.910774e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.10317
rel. change during last iteration : -8.19904e-13

degrees of freedom    (FIT_NDF)                        : 84
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.158233
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0250378

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0290106        +/- 0.0006873    (2.369%)
b2              = -0.191077        +/- 0.03684      (19.28%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.886  1.000 


*******************************************************************************
Wed Jan 29 13:48:11 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 86
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 2.3583603710e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00
   5 2.9585247444e+00  -7.02e-08  3.79e-04    4.458467e-02  -3.052509e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.95852
rel. change during last iteration : -7.01741e-13

degrees of freedom    (FIT_NDF)                        : 84
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.187671
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0352205

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0445847        +/- 0.0008152    (1.828%)
b3              = -0.305251        +/- 0.04369      (14.31%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.886  1.000 


*******************************************************************************
Wed Jan 29 13:49:26 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.3676937269e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.3758845977e+00  -2.25e-07  4.20e-04    2.058080e-02  -2.242641e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.37588
rel. change during last iteration : -2.25339e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.120984
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0146371

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0205808        +/- 0.0004456    (2.165%)
b1              = -0.224264        +/- 0.02645      (11.8%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:49:26 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3285437255e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.2687164971e+00  -1.29e-07  4.20e-04    2.585652e-02  -1.880575e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.26872
rel. change during last iteration : -1.28604e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.155355
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0241353

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0258565        +/- 0.0005722    (2.213%)
b2              = -0.188058        +/- 0.03397      (18.06%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:49:27 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.2441649073e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 5.1898306012e+00  -7.38e-08  4.20e-04    4.107512e-02  -3.590223e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 5.18983
rel. change during last iteration : -7.37948e-13

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.23497
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.055211

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0410751        +/- 0.0008654    (2.107%)
b3              = -0.359022        +/- 0.05137      (14.31%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:50:47 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.3855350941e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 6.8605939096e-01  -4.13e-07  4.20e-04    1.715257e-02  -1.716461e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.686059
rel. change during last iteration : -4.13417e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0854313
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0072985

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0171526        +/- 0.0003146    (1.834%)
b1              = -0.171646        +/- 0.01868      (10.88%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:50:47 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3516285801e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.5516089102e+00  -1.76e-07  4.20e-04    2.184447e-02  -1.495012e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.55161
rel. change during last iteration : -1.75863e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.128478
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0165065

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0218445        +/- 0.0004732    (2.166%)
b2              = -0.149501        +/- 0.02809      (18.79%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:50:47 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.2810651121e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.9610305741e+00  -1.06e-07  4.20e-04    3.361846e-02  -2.321999e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 2.96103
rel. change during last iteration : -1.06079e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.177483
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0315003

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0336185        +/- 0.0006537    (1.944%)
b3              = -0.2322          +/- 0.03881      (16.71%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:51:41 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.3997251335e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 3.4987837769e-01  -7.46e-07  4.20e-04    1.435347e-02  -1.245927e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 0.349878
rel. change during last iteration : -7.46075e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0610091
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00372211

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0143535        +/- 0.0002247    (1.565%)
b1              = -0.124593        +/- 0.01334      (10.71%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:51:41 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3662811517e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.3152703771e+00  -1.95e-07  4.20e-04    1.913903e-02  -1.139769e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.31527
rel. change during last iteration : -1.94701e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.118289
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0139922

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.019139         +/- 0.0004357    (2.276%)
b2              = -0.113977        +/- 0.02586      (22.69%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:51:41 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3129899357e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.2027095302e+00  -2.19e-07  4.20e-04    2.731445e-02  -1.305554e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 1.20271
rel. change during last iteration : -2.19384e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.113114
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0127948

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0273144        +/- 0.0004166    (1.525%)
b3              = -0.130555        +/- 0.02473      (18.94%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:52:29 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4107011866e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.3399116251e-01  -1.06e-06  4.20e-04    1.232897e-02  -9.737116e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.233991
rel. change during last iteration : -1.06141e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0498926
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00248927

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.012329         +/- 0.0001838    (1.49%)
b1              = -0.0973712       +/- 0.01091      (11.2%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:52:29 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3827938937e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 8.3933136863e-01  -2.82e-07  4.20e-04    1.606554e-02  -7.193422e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.839331
rel. change during last iteration : -2.82182e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0944937
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00892906

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0160655        +/- 0.000348     (2.166%)
b2              = -0.0719342       +/- 0.02066      (28.72%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:52:29 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3316992175e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.0812595097e+00  -2.27e-07  4.20e-04    2.391506e-02  -8.987383e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 1.08126
rel. change during last iteration : -2.26673e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.107251
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0115028

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0239151        +/- 0.000395     (1.652%)
b3              = -0.0898738       +/- 0.02345      (26.09%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:53:54 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4190407509e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 1.5601029995e-01  -1.54e-06  4.20e-04    1.084149e-02  -7.995963e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.15601
rel. change during last iteration : -1.54106e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0407392
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00165968

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0108415        +/- 0.00015      (1.384%)
b1              = -0.0799596       +/- 0.008907     (11.14%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:53:54 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3915046775e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 6.0182880930e-01  -3.84e-07  4.20e-04    1.459532e-02  -5.968976e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.601829
rel. change during last iteration : -3.84335e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0800152
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00640243

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0145953        +/- 0.0002947    (2.019%)
b2              = -0.0596898       +/- 0.01749      (29.31%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:53:54 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3492922263e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 7.6635323988e-01  -2.93e-07  4.20e-04    2.062319e-02  -4.478554e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.766353
rel. change during last iteration : -2.93465e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0902923
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00815269

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0206232        +/- 0.0003326    (1.613%)
b3              = -0.0447855       +/- 0.01974      (44.08%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:55:01 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4261545728e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 9.0108836614e-02  -2.57e-06  4.20e-04    9.502297e-03  -6.032563e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.0901088
rel. change during last iteration : -2.57048e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0309613
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000958605

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0095023        +/- 0.000114     (1.2%)
b1              = -0.0603256       +/- 0.006769     (11.22%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:55:01 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.4023627274e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 4.9971206094e-01  -4.31e-07  4.20e-04    1.243769e-02  -2.252965e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.499712
rel. change during last iteration : -4.30593e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0729115
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00531609

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0124377        +/- 0.0002685    (2.159%)
b2              = -0.0225296       +/- 0.01594      (70.76%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:55:01 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3635103468e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 5.6179892556e-01  -3.72e-07  4.20e-04    1.796755e-02  -8.316608e-03

After 5 iterations the fit converged.
final sum of squares of residuals : 0.561799
rel. change during last iteration : -3.72414e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0773084
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00597658

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0179676        +/- 0.0002847    (1.585%)
b3              = -0.00831661      +/- 0.0169       (203.2%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:09 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4261545728e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 9.0108836614e-02  -2.57e-06  4.20e-04    9.502297e-03  -6.032563e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.0901088
rel. change during last iteration : -2.57048e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0309613
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000958605

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0095023        +/- 0.000114     (1.2%)
b1              = -0.0603256       +/- 0.006769     (11.22%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:09 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.4023627274e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 4.9971206094e-01  -4.31e-07  4.20e-04    1.243769e-02  -2.252965e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.499712
rel. change during last iteration : -4.30593e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0729115
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00531609

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0124377        +/- 0.0002685    (2.159%)
b2              = -0.0225296       +/- 0.01594      (70.76%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:09 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3635103468e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 5.6179892556e-01  -3.72e-07  4.20e-04    1.796755e-02  -8.316608e-03

After 5 iterations the fit converged.
final sum of squares of residuals : 0.561799
rel. change during last iteration : -3.72414e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0773084
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00597658

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0179676        +/- 0.0002847    (1.585%)
b3              = -0.00831661      +/- 0.0169       (203.2%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:16 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4326551376e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 6.7361697003e-02  -3.32e-06  4.20e-04    8.277073e-03  -4.221680e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.0673617
rel. change during last iteration : -3.32033e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0267696
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000716614

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.00827707       +/- 9.859e-05    (1.191%)
b1              = -0.0422168       +/- 0.005853     (13.86%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:16 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.4085968875e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 5.0566154931e-01  -4.20e-07  4.20e-04    1.141806e-02  -1.575905e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.505662
rel. change during last iteration : -4.19884e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0733442
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00537938

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0114181        +/- 0.0002701    (2.366%)
b2              = -0.015759        +/- 0.01604      (101.8%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:56:16 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3750674053e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 3.1810504361e-01  -6.15e-07  4.20e-04    1.576269e-02   2.463553e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.318105
rel. change during last iteration : -6.14836e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.058173
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0033841

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0157627        +/- 0.0002143    (1.359%)
b3              = 0.0246355        +/- 0.01272      (51.63%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:57:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4362111156e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 8.1906309384e-02  -2.71e-06  4.20e-04    7.704586e-03  -3.881519e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.0819063
rel. change during last iteration : -2.71272e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0295185
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000871344

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.00770459       +/- 0.0001087    (1.411%)
b1              = -0.0388152       +/- 0.006454     (16.63%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:57:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.4163679604e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 3.3096233718e-01  -6.35e-07  4.20e-04    1.019404e-02  -1.039903e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.330962
rel. change during last iteration : -6.34593e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.059337
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00352088

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.010194         +/- 0.0002185    (2.144%)
b2              = -0.010399        +/- 0.01297      (124.8%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:57:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3848125011e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.5228336259e-01  -7.56e-07  4.20e-04    1.414252e-02   3.661081e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.252283
rel. change during last iteration : -7.55886e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.051806
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00268387

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0141425        +/- 0.0001908    (1.349%)
b3              = 0.0366108        +/- 0.01133      (30.94%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:58:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.4403526879e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 5.8545085309e-02  -3.77e-06  4.20e-04    7.054852e-03  -3.597290e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.0585451
rel. change during last iteration : -3.77389e-11

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0249564
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00062282

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.00705485       +/- 9.192e-05    (1.303%)
b1              = -0.0359729       +/- 0.005457     (15.17%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:58:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.4211574311e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.6291479735e-01  -7.71e-07  4.20e-04    9.231246e-03   6.884124e-03

After 5 iterations the fit converged.
final sum of squares of residuals : 0.262915
rel. change during last iteration : -7.71369e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0528863
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00279697

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.00923125       +/- 0.0001948    (2.11%)
b2              = 0.00688412       +/- 0.01156      (168%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.884  1.000 


*******************************************************************************
Wed Jan 29 13:58:23 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 96
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.3913334636e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00
   5 2.3694480729e-01  -7.66e-07  4.20e-04    1.283317e-02   5.976340e-02

After 5 iterations the fit converged.
final sum of squares of residuals : 0.236945
rel. change during last iteration : -7.65928e-12

degrees of freedom    (FIT_NDF)                        : 94
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0502065
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00252069

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0128332        +/- 0.0001849    (1.441%)
b3              = 0.0597634        +/- 0.01098      (18.37%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.884  1.000 


*******************************************************************************
Wed Jan 29 14:36:22 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f1(x)
	f1(x) = m1*x + b1
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m1            b1           
   0 3.3471165272e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   5 3.1782264396e+00  -4.55e-08  4.13e-04    2.286134e-02  -1.673048e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 3.17823
rel. change during last iteration : -4.55096e-13

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.181012
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0327652

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m1              = 0.0228613        +/- 0.0006366    (2.785%)
b1              = -0.167305        +/- 0.03722      (22.24%)

correlation matrix of the fit parameters:
                m1     b1     
m1              1.000 
b1             -0.872  1.000 


*******************************************************************************
Wed Jan 29 14:36:22 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f2(x)
	f2(x) = m2*x + b2
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m2            b2           
   0 3.3024116864e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   5 5.7517450132e+00  -2.47e-08  4.13e-04    2.938265e-02  -1.574850e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 5.75175
rel. change during last iteration : -2.4707e-13

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.243508
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0592963

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m2              = 0.0293827        +/- 0.0008564    (2.915%)
b2              = -0.157485        +/- 0.05007      (31.79%)

correlation matrix of the fit parameters:
                m2     b2     
m2              1.000 
b2             -0.872  1.000 


*******************************************************************************
Wed Jan 29 14:36:22 2020


FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4
        format = x:z
        #datapoints = 99
        residuals are weighted equally (unit weight)

function used for fitting: f3(x)
	f3(x) = m3*x + b3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   m3            b3           
   0 3.2158355101e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00
   5 5.9043468411e+00  -2.61e-08  4.13e-04    4.315066e-02  -2.061953e-01

After 5 iterations the fit converged.
final sum of squares of residuals : 5.90435
rel. change during last iteration : -2.61444e-13

degrees of freedom    (FIT_NDF)                        : 97
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.246718
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0608696

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
m3              = 0.0431507        +/- 0.0008677    (2.011%)
b3              = -0.206195        +/- 0.05073      (24.6%)

correlation matrix of the fit parameters:
                m3     b3     
m3              1.000 
b3             -0.872  1.000