cv.plsRmodel:
  function(x, ...)
cv.plsRmodel.default:
  function(dataY, dataX, nt, limQ2set, modele, K, NK, grouplist,
           random, scaleX, scaleY, keepcoeffs, keepfolds, keepdataY,
           keepMclassed, tol_Xi, weights, verbose)

cv.plsRmodel:
  function(x, ...)
cv.plsRmodel.formula:
  function(formula, data, nt, limQ2set, modele, K, NK, grouplist,
           random, scaleX, scaleY, keepcoeffs, keepfolds, keepdataY,
           keepMclassed, tol_Xi, weights, subset, contrasts, verbose)

plsRglmmodel:
  function(x, ...)
plsRglmmodel.default:
  function(dataY, dataX, nt, limQ2set, dataPredictY, modele, family,
           typeVC, EstimXNA, scaleX, scaleY, pvals.expli,
           alpha.pvals.expli, MClassed, tol_Xi, weights, sparse,
           sparseStop, naive, verbose)

plsRglmmodel:
  function(x, ...)
plsRglmmodel.formula:
  function(formula, data, nt, limQ2set, dataPredictY, modele, family,
           typeVC, EstimXNA, scaleX, scaleY, pvals.expli,
           alpha.pvals.expli, MClassed, tol_Xi, weights, subset, start,
           etastart, mustart, offset, method, control, contrasts,
           sparse, sparseStop, naive, verbose)

cv.plsRglmmodel:
  function(x, ...)
cv.plsRglmmodel.default:
  function(dataY, dataX, nt, limQ2set, modele, family, K, NK,
           grouplist, random, scaleX, scaleY, keepcoeffs, keepfolds,
           keepdataY, keepMclassed, tol_Xi, weights, method, verbose)

cv.plsRglmmodel:
  function(x, ...)
cv.plsRglmmodel.formula:
  function(formula, data, nt, limQ2set, modele, family, K, NK,
           grouplist, random, scaleX, scaleY, keepcoeffs, keepfolds,
           keepdataY, keepMclassed, tol_Xi, weights, subset, start,
           etastart, mustart, offset, method, control, contrasts,
           verbose)

plsRmodel:
  function(x, ...)
plsRmodel.default:
  function(dataY, dataX, nt, limQ2set, dataPredictY, modele, family,
           typeVC, EstimXNA, scaleX, scaleY, pvals.expli,
           alpha.pvals.expli, MClassed, tol_Xi, weights, sparse,
           sparseStop, naive, verbose)

plsRmodel:
  function(x, ...)
plsRmodel.formula:
  function(formula, data, nt, limQ2set, dataPredictY, modele, family,
           typeVC, EstimXNA, scaleX, scaleY, pvals.expli,
           alpha.pvals.expli, MClassed, tol_Xi, weights, subset,
           contrasts, sparse, sparseStop, naive, verbose)
See section ‘Generic functions and methods’ in the ‘Writing R
Extensions’ manual.