Abstract
We study principal components analysis for two reasons, first because the ideas in it are central to much of multivariate analysis and secondly as a data reduction technique. By the latter we mean that we start with a relatively large number of variables and hope to wind up with a smaller number of variables that include most of what was in the larger set of variables. It is sometimes said that principal components analysis and factor analysis reveal the structure of a set of observations.
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© 1983 Kluwer-Nijhoff Publishing
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Schuerman, J.R. (1983). Principal Components Analysis. In: Multivariate Analysis in the Human Services. International Series in Social Welfare, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6661-1_6
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DOI: https://doi.org/10.1007/978-94-009-6661-1_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-6663-5
Online ISBN: 978-94-009-6661-1
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