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plsRglm (version 1.7.1)

Partial Least Squares Regression for Generalized Linear Models

Description

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria . It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

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Install

install.packages('plsRglm')

Monthly Downloads

1,926

Version

1.7.1

License

GPL-3

Issues

0

Pull Requests

0

Stars

19

Forks

4

Maintainer

Frederic Bertrand

Last Published

June 17th, 2026

Functions in plsRglm (1.7.1)

bootplsglm

Non-parametric Bootstrap for PLS generalized linear models
bordeauxNA

Quality of wine dataset
bordeaux

Quality of wine dataset
boxplots.bootpls

Boxplot bootstrap distributions
bootpls

Non-parametric Bootstrap for PLS models
coefs.plsR

Coefficients for bootstrap computations of PLSR models
coefs.plsR.raw

Raw coefficients for bootstrap computations of PLSR models
coef.plsRglmmodel

coef method for plsR models
coef.plsRmodel

coef method for plsR models
confints.bootpls

Bootstrap confidence intervals
coefs.plsRglmnp

Coefficients for bootstrap computations of PLSGLR models
coefs.plsRnp

Coefficients for bootstrap computations of PLSR models
confints2signifind

Detect significant predictors from bootstrap confidence intervals
cv.plsRmulti

Experimental k-fold cross-validation for multivariate-response PLS2
kfolds2CVinfos_glm

Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares glm models
kfolds2Press

Computes PRESS for k-fold cross validated partial least squares regression models.
kfolds2Mclassedind

Number of missclassified individuals per group for k-fold cross validated partial least squares regression models.
cvtable

Table method for summary of cross validated PLSR and PLSGLR models
infcrit.dof

Information criteria
coefs.plsRglm

Coefficients for bootstrap computations of PLSGLR models
permcoefs.plsR.raw

Raw coefficients for permutation bootstrap computations of PLSR models
coefs.plsRglm.raw

Raw coefficients for bootstrap computations of PLSGLR models
permcoefs.plsRglm.raw

Raw coefficients for permutation bootstrap computations of PLSGLR models
permcoefs.plsR

Coefficients for permutation bootstrap computations of PLSR models
kfolds2CVinfos_lm

Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares models
kfolds2Chisq

Computes Predicted Chisquare for k-fold cross-validated partial least squares regression models.
permcoefs.plsRglm

Coefficients for permutation bootstrap computations of PLSGLR models
fowlkes

Fowlkes dataset
kfolds2coeff

Extracts coefficients from k-fold cross validated partial least squares regression models
dicho

Dichotomization
cv.plsR

Partial least squares regression models with k-fold cross-validation
cv.plsRglm

Partial least squares regression glm models with k-fold cross validation
kfolds2Pressind

Computes individual PRESS for k-fold cross validated partial least squares regression models.
loglikpls

loglikelihood function for plsR models
permcoefs.plsRglmnp

Coefficients for permutation bootstrap computations of PLSGLR models
kfolds2Mclassed

Number of missclassified individuals for k-fold cross validated partial least squares regression models.
kfolds2Chisqind

Computes individual Predicted Chisquare for k-fold cross validated partial least squares regression models.
pine

Pine dataset
plsR

Partial least squares Regression models with leave one out cross validation
permcoefs.plsRnp

Coefficients computation for permutation bootstrap
pine_sup

Complete Pine dataset
print.plsRmodel

Print method for plsR models
plots.confints.bootpls

Plot bootstrap confidence intervals
plot.table.summary.cv.plsRglmmodel

Plot method for table of summary of cross validated plsRglm models
plot.table.summary.cv.plsRmodel

Plot method for table of summary of cross validated plsR models
print.plsRglmmodel

Print method for plsRglm models
pineNAX21

Incomplete dataset from the pine caterpillars example
predict.plsRmultiModel

Predict method for experimental plsRmulti models
pine_full

Complete Pine dataset
print.coef.plsRmodel

Print method for plsR models
plsR.dof

Computation of the Degrees of Freedom
print.coef.plsRglmmodel

Print method for plsRglm models
tilt.bootpls

Non-parametric tilted bootstrap for PLS regression models
signpred

Graphical assessment of the stability of selected variables
print.summary.plsRglmmodel

Print method for summaries of plsRglm models
plsRmulti

Experimental multivariate-response PLS2 models
plsRglm-package

plsRglm: Partial Least Squares Regression for Generalized Linear Models
simul_data_UniYX

Data generating function for univariate plsR models
predict.plsRglmmodel

Print method for plsRglm models
summary.cv.plsRglmmodel

Summary method for plsRglm models
predict.plsRmodel

Print method for plsR models
print.summary.plsRmodel

Print method for summaries of plsR models
plsRglm

Partial least squares Regression generalized linear models
print.cv.plsRglmmodel

Print method for plsRglm models
summary.plsRglmmodel

Summary method for plsRglm models
tilt.bootplsglm

Non-parametric tilted bootstrap for PLS generalized linear regression models
simul_data_complete

Data generating detailed process for multivariate plsR models
print.cv.plsRmodel

Print method for plsR models
summary.plsRmodel

Summary method for plsR models
simul_data_UniYX_binom

Data generating function for univariate binomial plsR models
summary.cv.plsRmodel

Summary method for plsR models
simul_data_YX

Data generating function for multivariate plsR models
summary.cv.plsRmultiModel

Summary method for experimental multivariate PLS2 CV models
weighted_significance

Compute cross-validation weighted significance scores
PLS_lm_wvc

Light version of PLS_lm for cross validation purposes
XbordeauxNA

Incomplete dataset for the quality of wine dataset
XpineNAX21

Incomplete dataset from the pine caterpillars example
Cornell

Cornell dataset
aze_compl

As aze without missing values
CorMat

Correlation matrix for simulating plsR datasets
aze

Microsatellites Dataset
aic.dof

Akaike and Bayesian Information Criteria and Generalized minimum description length
AICpls

AIC function for plsR models
PLS_glm_wvc

Light version of PLS_glm for cross validation purposes
classbiplot

Grouped biplot for PLS scores and loadings