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

Data Driven Sparse PLS (ddsPLS)

ddsPLS is a sparse PLS formulation for mono and multi-block data sets with missing samples.

Installation

There are two alternative ways to install ddsPLS

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

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

vignette("ddsPLS")

or that vignette is also acessible here https://hadrienlorenzo.netlify.com/html/ddsPLS.html.

Some examples and applications are accessible on https://hadrienlorenzo.netlify.com/.

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