Variable selection and reduction in multivariate calibration and modelling

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

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
StatePublished - Jan 1 2011

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Calibration

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Variable selection and reduction in multivariate calibration and modelling. / vander Heyden, Yvan; Andries, Jan P.M.; Goodarzi, Mohammad.

In: LC GC Europe, Vol. 24, No. 12, 01.01.2011, p. 1-3.

Research output: Contribution to journalArticle

vander Heyden, Y, Andries, JPM & Goodarzi, M 2011, 'Variable selection and reduction in multivariate calibration and modelling', LC GC Europe, vol. 24, no. 12, pp. 1-3.
vander Heyden, Yvan ; Andries, Jan P.M. ; Goodarzi, Mohammad. / Variable selection and reduction in multivariate calibration and modelling. In: LC GC Europe. 2011 ; Vol. 24, No. 12. pp. 1-3.
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