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| bootplsbeta | Non-parametric Bootstrap for PLS beta regression models |
| coefs.plsRbeta | Coefficients function for bootstrap techniques |
| kfolds2Chisq | Computes Predicted Chisquare for kfold cross validated partial least squares beta regression models. |
| kfolds2Chisqind | Computes individual Predicted Chisquare for kfold cross validated partial least squares beta 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 function for permutation bootstrap techniques |
| plsRbeta | Partial least squares Regression beta regression models |
| plsRbetamodel.default | Partial least squares Regression beta regression models |
| plsRbetamodel.formula | Partial least squares Regression beta regression models |
| PLS_beta | Partial least squares beta regression models |
| PLS_beta_formula | Partial least squares beta regression 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 |
| simul_data_UniYX_beta | Data generating function for univariate beta plsR models |
| summary.plsRbetamodel | Summary method for plsRbeta models |
| tilt.bootplsbeta | Non-parametric tilted bootstrap for PLS beta regression models |