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Principal Component Analysis of Nonlinear Chromatography

✍ Scribed by Martin E. Pate; Michael K. Turner; Nina F. Thornhill; Nigel J. Titchener-Hooker

Book ID: 109386850
Publisher: American Institute of Chemical Engineers
Year: 2008
Tongue: English
Weight: 179 KB
Volume: 20
Category: Article
ISSN: 8756-7938
DOI: 10.1021/bp034133a

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## Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new or