Package: pls 2.8-5
pls: Partial Least Squares and Principal Component Regression
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
Authors:
pls_2.8-5.tar.gz
pls_2.8-5.zip(r-4.5)pls_2.8-5.zip(r-4.4)pls_2.8-5.zip(r-4.3)
pls_2.8-5.tgz(r-4.4-any)pls_2.8-5.tgz(r-4.3-any)
pls_2.8-5.tar.gz(r-4.5-noble)pls_2.8-5.tar.gz(r-4.4-noble)
pls_2.8-5.tgz(r-4.4-emscripten)pls_2.8-5.tgz(r-4.3-emscripten)
pls.pdf |pls.html✨
pls/json (API)
NEWS
# Install 'pls' in R: |
install.packages('pls', repos = c('https://khliland.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/khliland/pls/issues
- gasoline - Octane numbers and NIR spectra of gasoline
- mayonnaise - NIR measurements and oil types of mayonnaise
- oliveoil - Sensory and physico-chemical data of olive oils
- yarn - NIR spectra and density measurements of PET yarns
Last updated 3 months agofrom:ff1f1603b7. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | NOTE | Nov 15 2024 |
R-4.4-mac | NOTE | Nov 15 2024 |
R-4.3-win | NOTE | Nov 15 2024 |
R-4.3-mac | NOTE | Nov 15 2024 |
Exports:coefplotcompnamescorrplotcpplscppls.fitcrossvalcvsegmentsexplvarfac2segjack.testkernelpls.fitloading.weightsloadingplotloadingsmscMSEPmvrmvrValstatsoscorespls.fitpcrpls.optionsplsrprednamespredplotpredplotXyR2respnamesRMSEPscoreplotscoresselectNcompsimpls.fitstdizesvdpc.fitvalidationplotvar.jackwidekernelpls.fitYloadingsYscores
Dependencies: