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: http://www.carme-n.org/?sec=books2 with ordering information at http://www.carme-n.org/download/C6161FL.PDF


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This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.

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.

This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST

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