Cornell dataset
Partial least squares regression models with k-fold cross-validation
Quality of wine dataset
Coefficients for permutation bootstrap computations of PLSR models
Coefficients for permutation bootstrap computations of PLSGLR models
Partial least squares regression glm models with k-fold cross validation
Quality of wine dataset
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
Number of missclassified individuals for k-fold cross validated partial least squares regression models.
Number of missclassified individuals per group for k-fold cross validated partial least squares regression models.
Print method for plsRglm models
Print method for plsR models
print.summary.plsRglmmodel
Print method for summaries of plsRglm models
Print method for summaries of plsR models
Complete Pine dataset
Complete Pine dataset
Computation of the Degrees of Freedom
Microsatellites Dataset
As aze without missing values
Partial least squares Regression generalized linear models
coef method for plsR models
Coefficients for bootstrap computations of PLSR models
Boxplot bootstrap distributions
coef method for plsR models
Coefficients for bootstrap computations of PLSR models
Table method for summary of cross validated PLSR and PLSGLR models
Incomplete dataset from the pine caterpillars example
Bootstrap confidence intervals
Summary method for plsR models
Extracts coefficients from k-fold cross validated partial least squares regression models
Summary method for plsRglm models
loglikelihood function for plsR models
Dichotomization
Pine dataset
Light version of PLS\_lm for cross validation purposes
Coefficients for permutation bootstrap computations of PLSGLR models
Coefficients computation for permutation bootstrap
Summary method for plsR models
Non-parametric tilted bootstrap for PLS regression models
Incomplete dataset for the quality of wine dataset
Print method for plsRglm models
Incomplete dataset from the pine caterpillars example
Non-parametric Bootstrap for PLS models
Akaike and Bayesian Information Criteria and Generalized minimum description length
Coefficients for bootstrap computations of PLSGLR models
Print method for plsRglm models
Print method for plsR models
Print method for plsR models
Non-parametric Bootstrap for PLS generalized linear models
Data generating detailed process for multivariate plsR models
Coefficients for bootstrap computations of PLSGLR models
Summary method for plsRglm models
Fowlkes dataset
Information criteria
Graphical assessment of the stability of selected variables
Data generating function for univariate plsR models
Non-parametric tilted bootstrap for PLS generalized linear regression models
Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares glm models
Computes Predicted Chisquare for k-fold cross-validated partial least squares regression models.
Computes individual Predicted Chisquare for k-fold cross validated partial least squares regression models.
Plot bootstrap confidence intervals
Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares models
Computes PRESS for k-fold cross validated partial least squares regression models.
Computes individual PRESS for k-fold cross validated partial least squares regression models.
Partial least squares Regression models with leave one out cross validation
Print method for plsRglm models
Data generating function for univariate binomial plsR models
Print method for plsR models
Data generating function for multivariate plsR models
AIC function for plsR models
Correlation matrix for simulating plsR datasets
Light version of PLS\_glm for cross validation purposes