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analysis. We do describe the theory underlying the statistical and more visual aspects of the analysis. We have also tried to make sure that this book reaches out to students and educators who wish to learn (and teach) the fundamentals of correspondence analysis. In particular, the introductory nature of this book should enable students enrolled in an honours degree (for those in countries such as, but not confined to, Australia, New Zealand, United Kingdom, Canada, Hong Kong and India), a masters program or a PhD in all fields of research to gain appreciation of this form of analysis. The only requirement we ask of the reader is to have some knowledge of introductory statistics. To help the reader, all of the techniques we described can be performed using three R packages that are available on the CRAN; these packages are CAvariants , MCAvariants and CA3variants . However, to avoid an overly long book, we have not provided any guidance on how these packages may be used (reckonizing that they will be constantly updated), although one may refer to their help files for guidance and insight into their use.
So, sit back, relax, and we hope you enjoy your journey into the world of correspondence analysis.
April 2020
Eric J. Beh
Newcastle, Australia
Rosaria Lombardo
Capua, Italy
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