Descr iption 　　



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 descr iption 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. -Descr iption 　　



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 descr iption 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.