A B C D E F G H L N P R S T U V W X
| Renvlp-package | Computing Envelope Estimators | 
| amitriptyline | Amitriptyline Data | 
| Berkeley | Berkeley Guidance Study Data | 
| boot.env | Bootstrap for env | 
| boot.env.apweights | Bootstrap for env.apweights | 
| boot.env.tcond | Bootstrap for env.tcond | 
| boot.eppls | Bootstrap for eppls | 
| boot.genv | Bootstrap for genv | 
| boot.henv | Bootstrap for henv | 
| boot.logit.env | Bootstrap for logit.env | 
| boot.penv | Bootstrap for penv | 
| boot.pois.env | Bootstrap for pois.env | 
| boot.rrenv | Bootstrap for rrenv | 
| boot.rrenv.apweights | Bootstrap for rrenv.apweights | 
| boot.senv | Bootstrap for senv | 
| boot.stenv | Bootstrap for stenv | 
| boot.sxenv | Bootstrap for sxenv | 
| boot.xenv | Bootstrap for xenv | 
| concrete | Concrete Slump Test Dataset | 
| cv.env | Cross validation for env | 
| cv.env.apweights | Cross validation for env.apweights | 
| cv.env.tcond | Cross validation for env.tcond | 
| cv.eppls | Cross validation for peplos | 
| cv.genv | Cross validation for genv | 
| cv.henv | Cross validation for henv | 
| cv.logit.env | Cross validation for logit.env | 
| cv.penv | Cross validation for penv | 
| cv.pois.env | Cross validation for pois.env | 
| cv.rrenv | Cross validation for rrenv | 
| cv.rrenv.apweights | Cross validation for rrenv.apweights | 
| cv.senv | Cross validation for senv | 
| cv.stenv | Cross validation for stenv | 
| cv.sxenv | Cross validation for sxenv | 
| cv.xenv | Cross validation for xenv | 
| d.select | Select the rank of beta | 
| env | Fit the response envelope model | 
| env.apweights | Fit the envelope model with nonconstant variance | 
| env.tcond | Fit the envelope model with t-distributed errors | 
| eppls | Fit the Envelope-based Partial Partial Least Squares model | 
| felmdir | Fit the functional envelope linear model | 
| felmKL | Fit the functional envelope linear model | 
| fiberpaper | Pulp and Paper Data | 
| genv | Fit the groupwise envelope model | 
| henv | Fit the heteroscedastic envelope model | 
| horseshoecrab | Horseshoe Crab Data | 
| logit.env | Fit the envelope model in logistic regression | 
| NJdata | New Jersey Open Covid-19 Dataset | 
| penv | Fit the partial envelope model | 
| pois.env | Fit the envelope model in poisson regression | 
| pred.env | Estimation or prediction for env | 
| pred.env.apweights | Estimation or prediction for env.apweights | 
| pred.env.tcond | Estimation or prediction for env.tcond | 
| pred.eppls | Estimation or prediction for eppls | 
| pred.felmdir | Estimation or prediction for felmdir | 
| pred.felmKL | Estimation or prediction for felmKL | 
| pred.genv | Estimation or prediction for genv | 
| pred.henv | Estimation or prediction for henv | 
| pred.logit.env | Estimation or prediction for logit.env | 
| pred.penv | Estimation or prediction for penv | 
| pred.pois.env | Estimation or prediction for pois.env | 
| pred.rrenv | Estimation or prediction for rrenv | 
| pred.rrenv.apweights | Estimation or prediction for rrenv.apweights | 
| pred.senv | Estimation or prediction for senv | 
| pred.stenv | Estimation or prediction for stenv | 
| pred.sxenv | Estimation or prediction for sxenv | 
| pred.xenv | Estimation or prediction for xenv | 
| pred2.env | Estimation or prediction for env | 
| rrenv | Fit the reduced-rank envelope model | 
| rrenv.apweights | Fit the reduced-rank envelope model with nonconstant variance | 
| sales | Sales staff Data | 
| senv | Fit the scaled response envelope model | 
| stenv | Fit the simultaneous envelope model | 
| sxenv | Fit the scaled predictor envelope model | 
| testcoef.env | Hypothesis test of the coefficients of the response envelope model | 
| testcoef.env.apweights | Hypothesis test of the coefficients of the response envelope model with nonconstant variance | 
| testcoef.env.tcond | Hypothesis test of the coefficients of the response envelope model with t-distributed errors | 
| testcoef.genv | Hypothesis test of the coefficients of the groupwise envelope model | 
| testcoef.henv | Hypothesis test of the coefficients of the heteroscedastic envelope model | 
| testcoef.logit.env | Hypothesis test of the coefficients of the envelope model | 
| testcoef.penv | Hypothesis test of the coefficients of the partial envelope model | 
| testcoef.pois.env | Hypothesis test of the coefficients of the envelope model | 
| testcoef.rrenv | Hypothesis test of the coefficients of the reduced rank envelope model | 
| testcoef.rrenv.apweights | Hypothesis test of the coefficients of the reduced rank envelope model with nonconstant error variance | 
| testcoef.senv | Hypothesis test of the coefficients of the scaled response envelope model | 
| testcoef.stenv | Hypothesis test of the coefficients of the simultaneous envelope model | 
| testcoef.sxenv | Hypothesis test of the coefficients of the scaled predictor envelope model | 
| testcoef.xenv | Hypothesis test of the coefficients of the predictor envelope model | 
| u.env | Select the dimension of env | 
| u.env.apweights | Select the dimension of env.apweights | 
| u.env.tcond | Select the dimension of env.tcond | 
| u.eppls | Select the dimension of eppls | 
| u.felmdir | Find the envelope dimensions in the functional envelope linear model | 
| u.felmKL | Find the envelope dimensions in the functional envelope linear model | 
| u.genv | Select the dimension of genv | 
| u.henv | Select the dimension of henv | 
| u.logit.env | Select the dimension of logit.env | 
| u.penv | Select the dimension of penv | 
| u.pois.env | Select the dimension of pois.env | 
| u.pred2.env | Select the dimension of the constructed partial envelope for prediction based on envelope model | 
| u.rrenv | Select the dimension of rrenv | 
| u.rrenv.apweights | Select the dimension of rrenv.apweights | 
| u.senv | Select the dimension of senv | 
| u.stenv | Select the dimension of stenv | 
| u.sxenv | Select the dimension of sxenv | 
| u.xenv | Select the dimension of xenv | 
| vehicles | Automobile Dataset | 
| waterstrider | Water strider data | 
| weighted.env | Weighted response envelope estimator | 
| weighted.penv | Weighted partial envelope estimator | 
| weighted.pred.env | Estimation or prediction using weighted partial envelope | 
| weighted.xenv | Weighted predictor envelope estimator | 
| wheatprotein | Wheat Protein Data | 
| xenv | Fit the predictor envelope model |