Variable selection and reduction in multivariate calibration and modelling

Yvan vander Heyden, Jan P.M. Andries, Mohammad Goodarzi

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In multivariate calibration and modelling a model is built between a large data matrix containing many variables for each sample, such as a spectrum or a chromatogram, and a property of the samples, such as a given activity. Variable selection or reduction in the large matrix is required, or can be recommended, to obtain better and simpler models.

Original languageEnglish (US)
Pages (from-to)1-3
Number of pages3
JournalLC GC Europe
Volume24
Issue number12
Publication statusPublished - Jan 1 2011

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ASJC Scopus subject areas

  • Analytical Chemistry

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