Package: lspls 0.2-2
lspls: LS-PLS Models
Implements the LS-PLS (least squares - partial least squares) method described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs, T. (2004) "A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables" Journal of Chemometrics, 18(10), 451--464, <doi:10.1002/cem.890>.
Authors:
lspls_0.2-2.tar.gz
lspls_0.2-2.zip(r-4.5)lspls_0.2-2.zip(r-4.4)lspls_0.2-2.zip(r-4.3)
lspls_0.2-2.tgz(r-4.4-any)lspls_0.2-2.tgz(r-4.3-any)
lspls_0.2-2.tar.gz(r-4.5-noble)lspls_0.2-2.tar.gz(r-4.4-noble)
lspls_0.2-2.tgz(r-4.4-emscripten)lspls_0.2-2.tgz(r-4.3-emscripten)
lspls.pdf |lspls.html✨
lspls/json (API)
| # Install 'lspls' in R: |
| install.packages('lspls', repos = c('https://bhmevik.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bhmevik/lspls/issues
Last updated 6 years agofrom:af5bf5e2bf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 03 2024 |
| R-4.5-win | OK | Sep 03 2024 |
| R-4.5-linux | OK | Sep 03 2024 |
| R-4.4-win | OK | Sep 03 2024 |
| R-4.4-mac | OK | Sep 03 2024 |
| R-4.3-win | OK | Sep 03 2024 |
| R-4.3-mac | OK | Sep 03 2024 |
Exports:lsplslsplsCvorthlspls.fitorthlsplsCv
Dependencies:pls
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| LS-PLS Models | lspls-package |
| Fit LS-PLS Models | lspls |
| Cross-Validate LS-PLS Models | lsplsCv |
| MSEP, RMSEP and R^2 for LS-PLS | MSEP.lsplsCv R2.lsplsCv RMSEP.lsplsCv |
| Underlying LS-PLS Fit Function | orthlspls.fit |
| Low Level Cross-Validation Function | orthlsplsCv |
| Plots of LS-PLS Models | loadingplot.lspls plot.lspls scoreplot.lspls |
| Plot Method for Cross-Validations | plot.lsplsCv |
| Predict Method for LS-PLS Models | predict.lspls |
| Projection and Orthogonalisation | Corth orth project |
