Multiway covariates regression models

A. K. Smilde, H. A. L. Kiers

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

An abundance of methods exist to regress a y variable on a set of x variables collected in a matrix X. In the chemical sciences a growing number of problems translate into arrays of measurements X and Y, where X and Y are three-way arrays or multiway arrays. In this paper a general model is described for regressing such a multiway Y on a multiway X, while taking into account three-way structures in X and Y. A global least squares optimization problem is formulated to estimate the parameters of the model. The model is described and illustrated with a real industrial example from batch process operation. An algorithm is given in an appendix. Copyright (C) 1999 John Wiley & Sons, Ltd
Original languageEnglish
Pages (from-to)31-48
JournalJournal of Chemometrics
Volume13
Issue number1
Publication statusPublished - 1999

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