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enpls  

Ensemble Partial Least Squares Regression
View on CRAN: Click here


Download and install enpls package within the R console
Install from CRAN:
install.packages("enpls")

Install from Github:
library("remotes")
install_github("cran/enpls")

Install by package version:
library("remotes")
install_version("enpls", "6.1")



Attach the package and use:
library("enpls")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-03
Latest Update: 2019-05-18
Description:
An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
How to cite:
Nan Xiao (2014). enpls: Ensemble Partial Least Squares Regression. R package version 6.1, https://cran.r-project.org/web/packages/enpls
Previous versions and publish date:
1.0 (2014-10-03 22:10), 1.1 (2015-11-27 08:53), 3.0 (2016-06-29 10:37), 4.0 (2016-08-29 17:44), 4.5 (2016-09-15 10:54), 5.0 (2016-10-25 20:32), 5.6 (2016-11-26 17:47), 5.7 (2017-01-05 10:39), 5.8 (2017-03-25 11:58), 5.9 (2017-09-27 22:13), 6.0 (2018-05-14 00:32)
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