An ExPosition of multivariate analysis with the singular value decomposition in R
ExPosition is a new comprehensive R package providing crisp graphics and implementing multivariate analysis methods based on the singular value decomposition (svp). 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. (C) 2013 Elsevier B.V. All rights reserved.
r singular value decomposition principal components analysis correspondence analysis bootstrap partial least squares