spls

swMATH9507CRANsplsMaRDI QIDQ21488

Sparse Partial Least Squares (SPLS) Regression and Classification

Dongjun Chung

Last update: 4 May 2019

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 2.2-3

Source code repository: https://github.com/cran/spls

Cites work

• Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection

Related Items (19)

High-dimensional clustering via random projections ⋮ A sequential test for variable selection in high dimensional complex data ⋮ Radial basis function-sparse partial least squares for application to brain imaging data ⋮ Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques ⋮ Joint and individual variation explained (JIVE) for integrated analysis of multiple data types ⋮ Penalized orthogonal-components regression for large \(p\) small \(n\) data ⋮ Sparse CCA using a lasso with positivity constraints ⋮ A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS) ⋮ A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics ⋮ SelectBoost ⋮ bootPLS ⋮ enpls ⋮ SmCCNet ⋮ rrcovHD ⋮ An empirical comparison of two approaches for CDPCA in high-dimensional data ⋮ Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection ⋮ Variable Selection Methods in High-dimensional Regression—A Simulation Study ⋮ A Sparse PLS for Variable Selection when Integrating Omics Data ⋮ Genome-wide association studies with high-dimensional phenotypes

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