README.md
In wind22zhu/enpls1.2: Ensemble Partial Least Squares Regression
enpls1.2
enpls offers the ensemble partial least squares regression, a unified framework for feature selection, outlier detection, applicability domain and ensemble learning. See vignette('enpls') for details.
Links
- GitHub: https://github.com/wind22zhu/enpls1.2
- Bug Report: https://github.com/wind22zhu/enpls1.2/issues
Contact
- Min-feng Zhu wind2zhu@163.com
- Nan Xiao road2stat@gmail.com
wind22zhu/enpls1.2 documentation built on May 4, 2019, 6:31 a.m.
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enpls1.2
enpls offers the ensemble partial least squares regression, a unified framework for feature selection, outlier detection, applicability domain and ensemble learning. See vignette('enpls') for details.
Links
- GitHub: https://github.com/wind22zhu/enpls1.2
- Bug Report: https://github.com/wind22zhu/enpls1.2/issues
Contact
- Min-feng Zhu wind2zhu@163.com
- Nan Xiao road2stat@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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