enpls offers an algorithmic framework for measuring feature
importance, outlier detection, model applicability domain evaluation,
and ensemble predictive modeling with (sparse) partial least squares
You can install
enpls from CRAN:
Or try the development version on GitHub:
vignette("enpls") for a quick-start guide.
Model applicability domain evaluation and ensemble predictive modeling
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.