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Lookup NU author(s): Emeritus Professor Julian Morris,
Professor Elaine Martin
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A nested partial least-squares (PLS) algorithm is proposed for the modelling of non-linear systems in the presence of multicollinearity. The nested algorithm comprises both an inner and outer PLS algorithm. The objective of the outer algorithm is to extract those latent variables that will form the basis of the final application whilst the role of the inner algorithm is to derive the weight vectors for the outer PLS algorithm. Wold's non-linear PLS algorithm and the error-based weight updating procedure are special cases. The nested PLS algorithm is illustrated by application to simulated data and an industrial NIR spectral data set. © 2003 Elsevier B.V. All rights reserved.
Author(s): Li B, Hassel PA, Morris AJ, Martin EB
Publication type: Article
Publication status: Published
Journal: Computational Statistics and Data Analysis
Print publication date: 01/01/2005
ISSN (print): 0167-9473
ISSN (electronic): 1872-7352
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