Correspondence Analysis in Practice

The second edition of Michael Greenacre's book Correspondence Analysis in Practice has been published by Chapman & Hall /CRC Press. This book has been completely rewritten compared to the first edition published in 1993.

This edition is characterized by a long section on computational aspects and Michael demonstrates the use of two software packages - R and XLSTAT - for correspondence analysis and its variants, multiple correspondence analysis (MCA) and canonical correspondence analysis (CCA). You can read more about Michael's book at: with ordering information at


This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data

This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.

This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.


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