Partial Least Squares Regression for Generalized Linear Models

aic.dof | Akaike and Bayesian Information Criteria and Generalized... |

AICpls | AIC function for plsR models |

aze | Microsatellites Dataset |

aze_compl | As aze without missing values |

bootpls | Non-parametric Bootstrap for PLS models |

bootplsglm | Non-parametric Bootstrap for PLS generalized linear models |

bordeaux | Quality of wine dataset |

boxplots.bootpls | Boxplot bootstrap distributions |

coef.plsRglmmodel | coef method for plsR models |

coef.plsRmodel | coef method for plsR models |

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

coefs.plsRglm | Coefficients for bootstrap computations of PLSGLR models |

coefs.plsRglmnp | Coefficients for bootstrap computations of PLSGLR models |

coefs.plsRnp | Coefficients for bootstrap computations of PLSR models |

confints.bootpls | Bootstrap confidence intervals |

CorMat | Correlation matrix for simulating plsR datasets |

Cornell | Cornell dataset |

cv.plsR | Partial least squares regression models with k-fold... |

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

cvtable | Table method for summary of cross validated PLSR and PLSGLR... |

dicho | Dichotomization |

fowlkes | Fowlkes dataset |

infcrit.dof | Information criteria |

kfolds2Chisq | Computes Predicted Chisquare for k-fold cross-validated... |

kfolds2Chisqind | Computes individual Predicted Chisquare for k-fold cross... |

kfolds2coeff | Extracts coefficients from k-fold cross validated partial... |

kfolds2CVinfos_glm | Extracts and computes information criteria and fits... |

kfolds2CVinfos_lm | Extracts and computes information criteria and fits... |

kfolds2Mclassed | Number of missclassified individuals for k-fold cross... |

kfolds2Mclassedind | Number of missclassified individuals per group for k-fold... |

kfolds2Press | Computes PRESS for k-fold cross validated partial least... |

kfolds2Pressind | Computes individual PRESS for k-fold cross validated partial... |

loglikpls | loglikelihood function for plsR models |

permcoefs.plsR | Coefficients for permutation bootstrap computations of PLSR... |

permcoefs.plsRglm | Coefficients for permutation bootstrap computations of PLSGLR... |

permcoefs.plsRglmnp | Coefficients for permutation bootstrap computations of PLSGLR... |

permcoefs.plsRnp | Coefficients computation for permutation bootstrap |

pine | Pine dataset |

pine_full | Complete Pine dataset |

pine_sup | Complete Pine dataset |

plots.confints.bootpls | Plot bootstrap confidence intervals |

plot.table.summary.cv.plsRglmmodel | Plot method for table of summary of cross validated plsRglm... |

plot.table.summary.cv.plsRmodel | Plot method for table of summary of cross validated plsR... |

PLS_glm_wvc | Light version of PLS\_glm for cross validation purposes |

PLS_lm_wvc | Light version of PLS\_lm for cross validation purposes |

plsR | Partial least squares Regression models with leave one out... |

plsR.dof | Computation of the Degrees of Freedom |

plsRglm | Partial least squares Regression generalized linear models |

predict.plsRglmmodel | Print method for plsRglm models |

predict.plsRmodel | Print method for plsR models |

print.coef.plsRglmmodel | Print method for plsRglm models |

print.coef.plsRmodel | Print method for plsR models |

print.cv.plsRglmmodel | Print method for plsRglm models |

print.cv.plsRmodel | Print method for plsR models |

print.plsRglmmodel | Print method for plsRglm models |

print.plsRmodel | Print method for plsR models |

print.summary.plsRglmmodel | Print method for summaries of plsRglm models |

print.summary.plsRmodel | Print method for summaries of plsR models |

signpred | Graphical assessment of the stability of selected variables |

simul_data_complete | Data generating detailed process for multivariate plsR models |

simul_data_UniYX | Data generating function for univariate plsR models |

simul_data_UniYX_binom | Data generating function for univariate binomial plsR models |

simul_data_YX | Data generating function for multivariate plsR models |

summary.cv.plsRglmmodel | Summary method for plsRglm models |

summary.cv.plsRmodel | Summary method for plsR models |

summary.plsRglmmodel | Summary method for plsRglm models |

summary.plsRmodel | Summary method for plsR models |

tilt.bootpls | Tilted bootstrap for PLS models |

tilt.bootplsglm | Tilted bootstrap for PLS models |

XbordeauxNA | Incomplete dataset for the quality of wine dataset |

XpineNAX21 | Incomplete dataset from the pine caterpillars example |

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