XbordeauxNA {plsRglm} | R Documentation |
Quality of Bordeaux wines (Quality
) and four potentially predictive
variables (Temperature
, Sunshine
, Heat
and
Rain
).
The value of Temperature for the first observation was
remove from the matrix of predictors on purpose.
A data frame with 34 observations on the following 4 variables.
a numeric vector
a numeric vector
a numeric vector
a numeric vector
P. Bastien, V. Esposito-Vinzi, and M. Tenenhaus. (2005). PLS generalised linear regression. Computational Statistics & Data Analysis, 48(1):17-46.
M. Tenenhaus. (2005). La regression logistique PLS. In J.-J. Droesbeke, M. Lejeune, and G. Saporta, editors, Modeles statistiques pour donnees qualitatives. Editions Technip, Paris.
data(XbordeauxNA)
str(XbordeauxNA)