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.
- Version1.2.1
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- ddsPLS citation info
- Last release01/30/2024
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Team
Hadrien Lorenzo
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- Depends2 packages
- Imports4 packages
- Suggests3 packages
- Linking To2 packages