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GAMS Module DODR in ODRPACK


DODR

 
Fits a model to data, primarily for instances when the explanatory as well as the
response variables have significant errors. Minimizes the sum of the squares of
the weighted orthogonal distances between each data point and the curve
described by the model equation. Can also be used to solve the ordinary least
squares problem, where all the errors are attributed to the observations of the
dependent variable.
 
Classes  :  K1a1a3 . Unconstrained linear least squares approximation on
                   univariate data (curve fitting)
            K1b1a2 . Unconstrained nonlinear least squares approximation by
                   smooth functions, user provides first derivatives
            L8a4 .   Simple linear errors in variables regression
            L8c5 .   Measurement error models
            L8e1 .   Nonlinear least squares regression (i.e., y = F(X,b))
            L8e5 .   Nonlinear measurement error models
 
Type     : Fortran subroutine in ODRPACK package.
Access   : Some uses prohibited. Portable.
Precision: Double.
 
Details  : Data-1 Data-2 Data-3 Dependencies-1 Dependencies-2 Example-1
           Example-2 Example-3 Source Test Test-output
Sites    : (1) NETLIB
 

Implementation of DODR from

 
NETLIB:    Public access repository, The University of Tennessee at
           Knoxville and Bell Laboratories
 
Precision: Double. (Single: SODR)
 
You may access components from NETLIB outside GAMS as follows.
 
   Data-2       : echo 'send data2.dat from    Example-3    : echo 'send d_drive3 from    Source       : echo 'send d_odr from    Dependencies-: echo 'send d_lpkbls from    Dependencies-: echo 'send d_mprec0 from    Example-2    : echo 'send d_drive2 from    Test-output  : echo 'send test.txt from    Example-1    : echo 'send d_drive1 from    Data-1       : echo 'send data1.dat from    Test         : echo 'send d_test from    Data-3       : echo 'send data3.dat from 


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