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Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).
| Version: | 2.2-3 |
| Depends: | R (≥ 2.14) |
| Imports: | MASS, nnet, parallel, pls |
| Published: | 2019-05-04 |
| Author: | Dongjun Chung, Hyonho Chun, Sunduz Keles |
| Maintainer: | Valentin Todorov <valentin.todorov at chello.at> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | ChemPhys |
| CRAN checks: | spls results |
| Reference manual: | spls.pdf |
| Vignettes: |
Sparse PLS |
| Package source: | spls_2.2-3.tar.gz |
| Windows binaries: | r-devel: spls_2.2-3.zip, r-release: spls_2.2-3.zip, r-oldrel: spls_2.2-3.zip |
| macOS binaries: | r-release (arm64): spls_2.2-3.tgz, r-oldrel (arm64): spls_2.2-3.tgz, r-release (x86_64): spls_2.2-3.tgz, r-oldrel (x86_64): spls_2.2-3.tgz |
| Old sources: | spls archive |
| Reverse imports: | bootPLS, enpls, rrcovHD, SelectBoost, SmCCNet |
| Reverse suggests: | caret, flowml, fscaret, Patterns, subsemble, SuperLearner, superMICE |
| Reverse enhances: | joinet |
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These binaries (installable software) and packages are in development.
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