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More than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe.
The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater.
Introduction to Correspondence Analysis
Correspondence Analysis
Multiple Correspondence Analysis and Related Methods
Visualization and Verbalization of Data
Introduction to Multivariate Analysis
Multiple Correspondence Analysis for the Social Sciences
Data Analysis and Related Applications, Volume 2
Statistical Shape Analysis
Exploratory Multivariate Analysis by Example Using R
Chemometrics with R
Innovations in Multivariate Statistical Modeling
Statistical Bioinformatics with R
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