Instructor Led Correspondence Analysis Training - Training Resources
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From Creascience
Multivariate Techniques for Sensory and Consumer Studies


...ding Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis and Discriminant Analysis are presented and their usefulness for sensory and consumer data is illustrated with case studies based on real data.
The last day is dedicated to alternative and less known applications of these methods to address specific issues and get more actionable results from the
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Multivariate Data Analysis Summer School


This 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis.
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