All functions

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

bootplsbeta()

Non-parametric Bootstrap for PLS beta regression models

coefs.plsRbeta()

Coefficients function for bootstrap techniques

kfolds2CVinfos_beta()

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares beta regression models

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.

permcoefs.plsRbeta()

Coefficients function for permutation bootstrap techniques

plsRbeta() plsRbetamodel(<default>) plsRbetamodel(<formula>)

Partial least squares Regression beta regression models

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