我们提出了一个MATLAB工具箱，它可以解决与总最小二乘法（TLS）建模相关的基本问题。通过举例说明了如何用TLS方法求解：
线性回归模型
非线性回归模型
三维空间中的拟合数据
动力系统辨识
这个工具箱需要另外两个函数，这些函数已经在MATLAB中央文件交换中发布了。这些功能将被安装到计算机通过配套安装包的requirefexpackage包括TLS包。详情请参阅readme.txt文件。
作者：Ivo Petras，Dagmar Bednarova，Tomas Skovranek，Igor Podlubny
（科希策斯洛伐克技术大学）(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))