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Ranking principal components to reflect group structure

✍ Scribed by W. J. Krzanowski


Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
362 KB
Volume
6
Category
Article
ISSN
0886-9383

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## Abstract Spectroscopic data consists of several hundred to some thousand variables, wherein most of the variables are autocorrelated. When PCA and PLS techniques are used for the interpretation of these kinds of data, the loading plots are usually complex due to the covariation in the spectrum,