plsRglm-package | Partial least squares Regression for generalized linear models |
bootplsbeta | Non-parametric Bootstrap for PLS generalized linear models |
coefs.plsRbeta | Coefficients for bootstrap computations |
kfolds2Chisq | Computes Predicted Chisquare for kfold cross validated partial least squares regression models. |
kfolds2Chisqind | Computes individual Predicted Chisquare for kfold cross validated partial least squares regression models. |
kfolds2CVinfos_beta | Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares beta regression models |
permcoefs.plsRbeta | Coefficients computation for permutation bootstrap |
plsRbeta | Partial least squares Regression generalized linear models |
plsRbetamodel.default | Partial least squares Regression generalized linear models |
plsRbetamodel.formula | Partial least squares Regression generalized linear models |
PLS_beta | Partial least squares Regression generalized linear models |
PLS_beta_formula | Partial least squares Regression generalized linear models |
PLS_beta_kfoldcv | Partial least squares regression beta models with kfold cross validation |
PLS_beta_kfoldcv_formula | Partial least squares regression beta models with kfold cross validation |
PLS_beta_wvc | Light version of PLS\_beta for cross validation purposes |
print.plsRbetamodel | Print method for plsRbeta models |
print.summary.plsRbetamodel | Print method for summaries of plsRbeta models |
summary.plsRbetamodel | Summary method for plsRbeta models |
tilt.bootplsbeta | Tilted bootstrap for PLS models |