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Testing for the redundancy of variables in principal components analysis

✍ Scribed by James R. Schott

Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
490 KB
Volume
11
Category
Article
ISSN
0167-7152

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Principal component analysis is a useful method for analysing data-matrices. By analysing separate class models, i.e. disjoint principal component modelling as in the SIMCA or FCVPC programs (developed for supervised and unsupervised principal component analysis respectively), the principal componen