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Abstract

Some of the principles and main methods of chemometrics are illustrated by examples. The examples ate from electrochemistry, process analytical chemistry and multivariate imaging. Principal component analysis, partial least squares regression and multivariate image analysis are used to illustrate the power of chemometrical thinking. The emphasis is on plotting and visualization for showing the salient features of a model or data set. (C) 2004 Elsevier B.V. All rights reserved.

Keywords

spectroscopic imaging; multivariate image analysis; process chemometrics; electrochemical impedance spectroscopy; principal component analysis; partial least squares regression; process chemometrics; process analytical chemistry; near-infrared spectroscopy

Published in

Spectrochimica Acta Part B: Atomic Spectroscopy
2004, volume: 59, number: 9, pages: 1347-1357
Publisher: PERGAMON-ELSEVIER SCIENCE LTD

SLU Authors

UKÄ Subject classification

Analytical Chemistry

Publication identifier

  • DOI: https://doi.org/10.1016/j.sab.2004.06.009

Permanent link to this page (URI)

https://res.slu.se/id/publ/3990