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Analysis of multi-block supervised problems thanks to SVD-based methods permitting variable selection.

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Data Driven Sparse PLS(ddsPLS)

ddsPLS is a sparse PLS formulation based on soft-thresholding estimations of covariance matrices.

Installation

There is currently one way to install ddsPLS

  • From the under development repository from GitHub thanks to devtools
# install.packages("devtools")
devtools::install_github("hlorenzo/ddsPLS", build_vignettes = TRUE)

Once that package is installed, you can access the vignette using that command.

vignette("ddsPLS")

It is also possible to start a built in applet using

ddsPLS_App()

and it should start an interactive interface which should look like

ddsPLS applet

Thanks for using!