Abstract
In this chapter we discuss two related but separate techniques, multiple regression and canonical correlation. The first of these is not strictly a multivariate procedure; the reasons for including it in this book are that it provides some useful basic material both for the discussion of canonical correlation in this chapter and modelling longitudinal data in Chapter 9.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag London Limited
About this chapter
Cite this chapter
Everitt, B.S. (2005). Multiple Regression and Canonical Correlation. In: An R and S-PLUS® Companion to Multivariate Analysis. Springer Texts in Statistics. Springer, London. https://doi.org/10.1007/1-84628-124-5_8
Download citation
DOI: https://doi.org/10.1007/1-84628-124-5_8
Publisher Name: Springer, London
Print ISBN: 978-1-85233-882-4
Online ISBN: 978-1-84628-124-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)