Total Least Squares Method

Version 1.2.0.0 (14,8 ko) par Ivo Petras
Mathematical method known as total least squares or orthogonal regression or error-in-variables.
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Mise à jour 11 avr. 2013

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We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:
- linear regression model
- nonlinear regression model
- fitting data in 3D space
- identification of dynamical system

This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package 'requireFEXpackage' included in TLS package. For more details see ReadMe.txt file.

Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny
(Technical University of Kosice, Slovakia)

Detailed description of the functions, examples and demos can be found at the link:

Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.
(http://actamont.tuke.sk/pdf/2010/n2/8petras.pdf)

Citation pour cette source

Ivo Petras (2024). Total Least Squares Method (https://www.mathworks.com/matlabcentral/fileexchange/31109-total-least-squares-method), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2010b
Compatible avec toutes les versions
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Version Publié le Notes de version
1.2.0.0

Fixed bug discovered by Martin and Alex.
1.1.0.0

Updated function orm(). Fixed error discovered by 'Trison'.
1.0.0.0