pls v2.7-3
0
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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).
Functions in pls
| Name | Description | |
| gasoline | Octane numbers and NIR spectra of gasoline | |
| cvsegments | Generate segments for cross-validation | |
| jack.test | Jackknife approximate t tests of regression coefficients | |
| delete.intercept | Delete intercept from model matrix | |
| crossval | Cross-validation of PLSR and PCR models | |
| kernelpls.fit | Kernel PLS (Dayal and MacGregor) | |
| biplot.mvr | Biplots of PLSR and PCR Models. | |
| coef.mvr | Extract Information From a Fitted PLSR or PCR Model | |
| cppls.fit | CPPLS (Indahl et al.) | |
| coefplot | Plot Regression Coefficients of PLSR and PCR models | |
| mvrVal | MSEP, RMSEP and R2 of PLSR and PCR models | |
| naExcludeMvr | Adjust for Missing Values | |
| pls.options | Set or return options for the pls package | |
| plot.mvr | Plot Method for MVR objects | |
| mayonnaise | NIR measurements and oil types of mayonnaise | |
| msc | Multiplicative Scatter Correction | |
| mvrCv | Cross-validation | |
| mvr | Partial Least Squares and Principal Component Regression | |
| validationplot | Validation Plots | |
| svdpc.fit | Principal Component Regression | |
| selectNcomp | Suggestions for the optimal number of components in PCR and PLSR models | |
| simpls.fit | Sijmen de Jong's SIMPLS | |
| summary.mvr | Summary and Print Methods for PLSR and PCR objects | |
| yarn | NIR spectra and density measurements of PET yarns | |
| stdize | Standardization of Data Matrices | |
| oscorespls.fit | Orthogonal scores PLSR | |
| oliveoil | Sensory and physico-chemical data of olive oils | |
| scores | Extract Scores and Loadings from PLSR and PCR Models | |
| scoreplot | Plots of Scores, Loadings and Correlation Loadings | |
| predplot | Prediction Plots | |
| predict.mvr | Predict Method for PLSR and PCR | |
| widekernelpls.fit | Wide Kernel PLS (R<U+00E4>nnar et al.) | |
| var.jack | Jackknife Variance Estimates of Regression Coefficients | |
| No Results! | ||
Vignettes of pls
| Name | ||
| pls-manual.Rnw | ||
| pls-manual.bib | ||
| No Results! | ||
Last month downloads
Details
| Date | 2020-08-04 |
| Encoding | UTF-8 |
| LazyData | yes |
| License | GPL-2 |
| URL | https://mevik.net/work/software/pls.html, https://github.com/bhmevik/pls |
| BugReports | https://github.com/bhmevik/pls/issues |
| NeedsCompilation | no |
| Packaged | 2020-08-04 20:06:07 UTC; bhm |
| Repository | CRAN |
| Date/Publication | 2020-08-07 09:10:05 UTC |
| imports | graphics , grDevices , methods , stats |
| suggests | MASS , parallel , Rmpi , RUnit , testthat |
| depends | R (>= 2.10) |
| Contributors | Ron Wehrens, Kristian Hovde Liland, Paul Hiemstra |
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