plsRglm (version 1.2.5)

XbordeauxNA: Incomplete dataset for the quality of wine dataset

Description

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.

Usage

data(XbordeauxNA)

Format

A data frame with 34 observations on the following 4 variables.

Temperature

a numeric vector

Sunshine

a numeric vector

Heat

a numeric vector

Rain

a numeric vector

References

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.

Examples

# NOT RUN {
data(XbordeauxNA)
str(XbordeauxNA)
# }