Package: plsdepot 0.2.0
plsdepot: Partial Least Squares (PLS) Data Analysis Methods
Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Authors:
plsdepot_0.2.0.tar.gz
plsdepot_0.2.0.zip(r-4.5)plsdepot_0.2.0.zip(r-4.4)plsdepot_0.2.0.zip(r-4.3)
plsdepot_0.2.0.tgz(r-4.4-any)plsdepot_0.2.0.tgz(r-4.3-any)
plsdepot_0.2.0.tar.gz(r-4.5-noble)plsdepot_0.2.0.tar.gz(r-4.4-noble)
plsdepot_0.2.0.tgz(r-4.4-emscripten)plsdepot_0.2.0.tgz(r-4.3-emscripten)
plsdepot.pdf |plsdepot.html✨
plsdepot/json (API)
NEWS
| # Install 'plsdepot' in R: |
| install.packages('plsdepot', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org')) |
- carscomplete - Carscomplete data set
- carsmissing - Carsmissing data set
- cornell - Cornell data set
- linnerud - Linnerud data set
- ropes - Climbing Ropes data set
- vehicles - Vehicles data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:4634933444. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:interbatnipalsplscaplsreg1plsreg2simplssimplsca
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| carscomplete data set | carscomplete |
| carsmissing data set | carsmissing |
| Cornell data set | cornell |
| Tucker's Inter-Battery Method of Factor Analysis | interbat |
| Linnerud data set | linnerud |
| NIPALS: Non-linear Iterative Partial Least Squares | nipals |
| Plot inter-battery basic results | plot.interbat |
| Plot NIPALS basic results | plot.nipals |
| Plot PLS-CA basic results | plot.plsca |
| Plot PLS-R1 basic results | plot.plsreg1 |
| Plot PLS-R2 basic results | plot.plsreg2 |
| Plot simpls basic results | plot.simpls |
| Plot SIMPLS-CA basic results | plot.simplsca |
| PLS-CA: Partial Least Squares Canonical Analysis | plsca |
| PLS-R1: Partial Least Squares Regression 1 | plsreg1 |
| PLS-R2: Partial Least Squares Regression 2 | plsreg2 |
| Climbing Ropes data set | ropes |
| SIMPLS: Alternative Approach to PLS Regression | simpls |
| SIMPLS-CA: SIMPLS Canonical Analysis | simplsca |
| Vehicles data set | vehicles |
