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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.

Installation

Install enpls from CRAN:

install.packages("enpls")

Or try the development version on GitHub:

# install.packages("devtools")
devtools::install_github("road2stat/enpls")

See the vignette (or open with vignette("enpls") in R) for a quick-start guide.

Measuring Feature Importance

enpls-fs

Outlier Detection

enpls-od

Model Applicability Domain Evaluation / Ensemble Predictive Modeling

enpls-fit

Contribute

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.