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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.
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.