hlorenzo/ddsPLS: Data-Driven Sparse Partial Least Squares
A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set.
Getting started
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Package details |
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| Author | Hadrien Lorenzo |
| Maintainer | Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.2.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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