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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

Thanks for using!

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.