A new PLS method suitable to deal with the discriminant analysis problems with two class samples
- 化学化工－已发表论文 
A new PLS method that is very suitable dealing with the discriminant analysis problems with two class samples has been developed. In this method the dependent function y has been transformed by use of the Sigmoid function, that is similar to the neural network algorithm. Therefore a new optimization criteria can be used to extract the latent variables t(1), t(2),......, in PLS method. The good classification graphics constructed by the latent variables, and the ideal direction vectors of discrimination can all be obtained.