Abstract
As illustrated in the other chapters of this book, research continues into a wide variety of methods of using PCA in analysing various types of data. However, in no area has this research been more active in recent years, than in investigating approaches to regression analysis which use PCs in some form or another.
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© 1986 Springer Science+Business Media New York
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Jolliffe, I.T. (1986). Principal Components in Regression Analysis. In: Principal Component Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-1904-8_8
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DOI: https://doi.org/10.1007/978-1-4757-1904-8_8
Publisher Name: Springer, New York, NY
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