enpls: Ensemble Partial Least Squares Regression

An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

See also

Useful links:

• https://nanx.me/enpls/

• https://github.com/nanxstats/enpls

• Report bugs at https://github.com/nanxstats/enpls/issues

Author

Maintainer: Nan Xiao me@nanx.me (ORCID)

Authors:

• Dong-Sheng Cao

• Miao-Zhu Li miaozhu.li@duke.edu

• Qing-Song Xu qsxu@csu.edu.cn