*******************************************************************************
Fri Aug 12 11:26:38 2011


FIT:    data read from "sig.inp.FL" u 1:7
	x range restricted to [0.00000 : 0.0875000]
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.133324          delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.719192

initial set of free parameter values

Z               = 0.5
b               = 0.2

After 6 iterations the fit converged.
final sum of squares of residuals : 2.01102e-06
rel. change during last iteration : -4.05347e-11

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00100275
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.00551e-06

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

Z               = 0.68451          +/- 0.007796     (1.139%)
b               = -0.00089386      +/- 0.0007723    (86.4%)


correlation matrix of the fit parameters:

               Z      b      
Z               1.000 
b              -0.761  1.000 


*******************************************************************************
Fri Aug 12 11:26:38 2011


FIT:    data read from "sig.inp.FL" u 1:7
	x range restricted to [0.00000 : 0.0875000]
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.01102e-06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.70787

initial set of free parameter values

m               = 1.4609
b               = -0.00089386

After 1 iterations the fit converged.
final sum of squares of residuals : 2.01102e-06
rel. change during last iteration : -1.26359e-15

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00100275
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.00551e-06

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

m               = 1.4609           +/- 0.01662      (1.138%)
b               = -0.00089386      +/- 0.0007723    (86.4%)


correlation matrix of the fit parameters:

               m      b      
m               1.000 
b               0.761  1.000 


*******************************************************************************
Fri Aug 12 11:26:52 2011


FIT:    data read from "sig.inp.FL" u 1:7
	x range restricted to [0.00000 : 0.0350000]
        #datapoints = 2
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.0773671         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707803

initial set of free parameter values

Z               = 0.5
b               = 0.2

After 8 iterations the fit converged.
final sum of squares of residuals : 2.70834e-35
abs. change during last iteration : -1.37426e-29


Exactly as many data points as there are parameters.
In this degenerate case, all errors are zero by definition.

Final set of parameters 
======================= 

Z               = 0.635394       
b               = -2.34297e-42   


*******************************************************************************
Fri Aug 12 11:26:52 2011


FIT:    data read from "sig.inp.FL" u 1:7
	x range restricted to [0.00000 : 0.0350000]
        #datapoints = 2
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.70834e-35       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 500.5

initial set of free parameter values

m               = 1.57383
b               = -2.34297e-42

After 1 iterations the fit converged.
final sum of squares of residuals : 2.70834e-35
abs. change during last iteration : 0


Exactly as many data points as there are parameters.
In this degenerate case, all errors are zero by definition.

Final set of parameters 
======================= 

m               = 1.57383        
b               = -2.34297e-42