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An exposition of multivariate analysis with the singular value decomposition in R. (English) Zbl 06983898
Summary: ExPosition is a new comprehensive package providing crisp graphics and implementing multivariate analysis methods based on the singular value decomposition ({svd}). The core techniques implemented in ExPosition are: principal components analysis, (metric) multidimensional scaling, correspondence analysis, and several of their recent extensions such as barycentric discriminant analyses (e.g., discriminant correspondence analysis), multi-table analyses (e.g., multiple factor analysis, {Statis}, and {distatis}), and non-parametric resampling techniques (e.g., permutation and bootstrap). Several examples highlight the major differences between ExPosition and similar packages. Finally, the future directions of ExPosition are discussed.
62-XX Statistics
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