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)

ReadMe.txt
corrindex.m
dataERM.txt
dataHeater.txt
dataLRM.txt
dataNRM.txt
demo3Dplane.m
demoIdent.m
demoLRM.m
demoNRM.m
dist_dsearch.m
distance_nD.m
dmodel2D.m
fit_2D_data.m
fit_2D_data_SVD.m
model.m
numerFminD.m
numerFminS.m
orm.m
requireFEXpackage.m
statindexes.m
switzerland.giu
license.txt

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