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1066 kaklik 1
 
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*******************************************************************************
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Tue Nov  6 22:24:01 2012
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FIT:    data read from "zavislost_teplota.txt"  using 1:3
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        format = x:z
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        #datapoints = 5
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        residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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 Iteration 0
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 WSSR        : 34918             delta(WSSR)/WSSR   : 0
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 delta(WSSR) : 0                 limit for stopping : 1e-05
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 lambda	  : 58.6813
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initial set of free parameter values
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k               = 1
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q               = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.000448949
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rel. change during last iteration : -2.4768e-12
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degrees of freedom    (FIT_NDF)                        : 3
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rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0122331
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variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00014965
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Final set of parameters            Asymptotic Standard Error
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=======================            ==========================
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k               = -0.0023836       +/- 0.0001861    (7.807%)
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q               = 0.584967         +/- 0.01544      (2.64%)
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correlation matrix of the fit parameters:
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               k      q      
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k               1.000 
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q              -0.935  1.000 
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*******************************************************************************
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Tue Nov  6 22:25:40 2012
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FIT:    data read from "zavislost_teplota.txt"  using 1:4
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        format = x:z
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        #datapoints = 5
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        residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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 Iteration 0
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 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
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 delta(WSSR) : 0                 limit for stopping : 1e-05
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 lambda	  : 58.6813
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initial set of free parameter values
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k               = 1
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q               = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.000147842
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rel. change during last iteration : -6.53232e-12
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degrees of freedom    (FIT_NDF)                        : 3
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rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
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variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05
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Final set of parameters            Asymptotic Standard Error
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=======================            ==========================
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k               = -0.00225349      +/- 0.0001068    (4.739%)
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q               = 0.612271         +/- 0.008862     (1.447%)
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correlation matrix of the fit parameters:
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               k      q      
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k               1.000 
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q              -0.935  1.000 
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*******************************************************************************
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Tue Nov  6 22:37:02 2012
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FIT:    data read from "zavislost_teplota.txt"  using 1:4
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        format = x:z
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        #datapoints = 5
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        residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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 Iteration 0
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 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
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 delta(WSSR) : 0                 limit for stopping : 1e-05
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 lambda	  : 58.6813
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initial set of free parameter values
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k               = 1
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q               = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.000147842
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rel. change during last iteration : -6.53232e-12
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degrees of freedom    (FIT_NDF)                        : 3
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rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
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variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05
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Final set of parameters            Asymptotic Standard Error
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=======================            ==========================
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k               = -0.00225349      +/- 0.0001068    (4.739%)
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q               = 0.612271         +/- 0.008862     (1.447%)
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correlation matrix of the fit parameters:
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               k      q      
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k               1.000 
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q              -0.935  1.000 
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*******************************************************************************
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Tue Nov  6 22:37:34 2012
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FIT:    data read from "zavislost_teplota.txt"  using 1:4
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        format = x:z
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        #datapoints = 5
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        residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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 Iteration 0
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 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
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 delta(WSSR) : 0                 limit for stopping : 1e-05
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 lambda	  : 58.6813
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initial set of free parameter values
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k               = 1
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q               = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.000147842
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rel. change during last iteration : -6.53232e-12
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degrees of freedom    (FIT_NDF)                        : 3
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rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
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variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05
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Final set of parameters            Asymptotic Standard Error
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=======================            ==========================
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k               = -0.00225349      +/- 0.0001068    (4.739%)
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q               = 0.612271         +/- 0.008862     (1.447%)
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correlation matrix of the fit parameters:
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               k      q      
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k               1.000 
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q              -0.935  1.000 
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*******************************************************************************
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Tue Nov  6 22:37:47 2012
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FIT:    data read from "zavislost_teplota.txt"  using 1:4
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        format = x:z
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        #datapoints = 5
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        residuals are weighted equally (unit weight)
195
 
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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 Iteration 0
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 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
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 delta(WSSR) : 0                 limit for stopping : 1e-05
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 lambda	  : 58.6813
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initial set of free parameter values
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k               = 1
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q               = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.000147842
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rel. change during last iteration : -6.53232e-12
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degrees of freedom    (FIT_NDF)                        : 3
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rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
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variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05
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Final set of parameters            Asymptotic Standard Error
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=======================            ==========================
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k               = -0.00225349      +/- 0.0001068    (4.739%)
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q               = 0.612271         +/- 0.008862     (1.447%)
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correlation matrix of the fit parameters:
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               k      q      
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k               1.000 
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q              -0.935  1.000