Big sgPLS

bigsgPLS is an R package that provides an implementation of the two block PLS methods. The method makes use of bigmemory and matrix algebra by chunks to deal with datasets too large for R.


This is joint work with Pierre Lafeye De Micheaux and Benoit Liquet. A preliminary paper describing the PLS methods and some of the statistical properties is avaliable on ArXiv Pre-prints.


Use devtools to install:

install_github("matt-sutton/bigsgPLS", host = "")

Example Usage

Examples from the bigsgPLS paper can be replicated by following the process described in: Example 1 and Example 2 and Example 3

matt-sutton/bigsgPLS documentation built on May 12, 2020, 2:47 p.m.