enpls offers an algorithmic framework for measuring
feature importance, outlier detection, model applicability domain
evaluation, and ensemble predictive modeling with (sparse) partial least
squares regressions.
Install enpls from CRAN:
install.packages("enpls")Or try the development version on GitHub:
# install.packages("devtools")
devtools::install_github("nanxstats/enpls")See the
vignette (or open with vignette("enpls") in R) for a
quick-start guide.
To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.