pca.wine

<p>Six wines described by several assessors with rank attributes.</p>

datasets

A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

pca.wine function

<p>pca.wine$data: A data matrix with 6 wines (rows) from several assessors described by 11 attributes (columns). For use with <code>epPCA</code>.</p>

pca.wine: Six wines described by several assessors with rank attributes.

Description

Usage

Arguments

Format

References

See Also