期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 68, 期 1-2, 页码 5-16出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0169-7439(03)00083-2
关键词
PLSR; irrelevant factors; bootstrap; cross-validation
The aim of this paper is to suggest a bootstrap-based method for choosing the number of components in Partial Least Squares Regression (PLSR). Cross-validated Q(h)(2) statistic is used, for which is intended to derive a bootstrap distribution and to perform a hypothesis testing. Monte Carlo approximation is adopted. Applications on both artificial and real data are presented. (C) 2003 Elsevier B.V. All rights reserved.
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