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