Rdocumentation
powered by
Learn R Programming
pls (version 2.8-5)
Partial Least Squares and Principal Component Regression
Description
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
Copy Link
Link to current version
Version
Version
2.8-5
2.8-4
2.8-3
2.8-2
2.8-1
2.8-0
2.7-3
2.7-2
2.7-1
2.7-0
2.6-0
2.5-0
2.4-3
2.3-0
2.2-0
2.1-0
2.0-1
2.0-0
1.2-1
1.2-0
1.1-0
1.0-3
1.0-2
1.0-1
0.1-3
0.1-2
0.1-1
Install
install.packages('pls')
Monthly Downloads
34,826
Version
2.8-5
License
GPL-2
Issues
4
Pull Requests
0
Stars
36
Forks
3
Repository
https://github.com/khliland/pls
Maintainer
Kristian Hovde Liland
Last Published
September 15th, 2024
Functions in pls (2.8-5)
Search all functions
fac2seg
Factor to Segments
crossval
Cross-validation of PLSR and PCR models
msc
Multiplicative Scatter Correction
kernelpls.fit
Kernel PLS (Dayal and MacGregor)
oscorespls.fit
Orthogonal scores PLSR
plot.mvr
Plot Method for MVR objects
mvrCv
Cross-validation
coef.mvr
Extract Information From a Fitted PLSR or PCR Model
mayonnaise
NIR measurements and oil types of mayonnaise
cvsegments
Generate segments for cross-validation
naExcludeMvr
Adjust for Missing Values
selectNcomp
Suggestions for the optimal number of components in PCR and PLSR models
oliveoil
Sensory and physico-chemical data of olive oils
mvr
Partial Least Squares and Principal Component Regression
scoreplot
Plots of Scores, Loadings and Correlation Loadings
predict.mvr
Predict Method for PLSR and PCR
scores
Extract Scores and Loadings from PLSR and PCR Models
stdize
Standardization of Data Matrices
predplot
Prediction Plots
simpls.fit
Sijmen de Jong's SIMPLS
mvrVal
MSEP, RMSEP and R2 of PLSR and PCR models
pls
Partial Least Squares and Principal Component Regression
pls.options
Set or return options for the pls package
svdpc.fit
Principal Component Regression
var.jack
Jackknife Variance Estimates of Regression Coefficients
print.mvr
Summary and Print Methods for PLSR and PCR objects
widekernelpls.fit
Wide Kernel PLS (Rännar et al.)
vcov.mvr
Calculate Variance-Covariance Matrix for a Fitted Model Object
validationplot
Validation Plots
yarn
NIR spectra and density measurements of PET yarns
biplot.mvr
Biplots of PLSR and PCR Models.
gasoline
Octane numbers and NIR spectra of gasoline
delete.intercept
Delete intercept from model matrix
cppls.fit
CPPLS (Indahl et al.)
coefplot
Plot Regression Coefficients of PLSR and PCR models
jack.test
Jackknife approximate t tests of regression coefficients