Package: SparseBiplots 4.0.1

SparseBiplots: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'.

'HJ-Biplot' is a multivariate method that allow represent multivariate data on a subspace of low dimension, in such a way that most of the variability of the information is captured in a few dimensions. This package implements three new techniques and constructs in each case the 'HJ-Biplot', adapting restrictions to reduce weights and / or produce zero weights in the dimensions, based on the regularization theories. It implements three methods of regularization: Ridge, LASSO and Elastic Net.

Authors:Mitzi Isabel Cubilla-Montilla <[email protected]>, Carlos Alfredo Torres-Cubilla <[email protected]>, Purificacion Galindo Villardon <[email protected]> and Ana Belen Nieto-Librero <[email protected]>