A NONLINEAR PLS MODEL

被引：115

作者：

FRANK, IE

机构：

[1] JerIl, Inc., Stanford, CA 94305

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1990年 / 8卷 / 02期

关键词：

D O I：

10.1016/0169-7439(90)80128-S

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Frank, I.E., 1990. A nonlinear PLS model. Chemometrics and Intelligent Laboratory Systems, 8: 109-119. A nonlinear extension of the PLS (partial least squares regression) method is introduced. The algorithm connects the predictor and response latent variables by a smooth but otherwise unrestricted nonlinear function. Similarities and differences between the linear and nonlinear PLS models are discussed. The performance of the new nonlinear PLS method is illustrated on three chemical data sets with different covariance structures. © 1990.

引用

页码：109 / 119

页数：11

共 12 条

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