Quality of Bordeaux wines (Quality) and four potentially predictive variables (Temperature, Sunshine, Heat and Rain).
The value of x1 for the first observation was removed from the matrix of predictors on purpose.
Usage
data(bordeauxNA)
Arguments
Format
A data frame with 34 observations on the following 5 variables.
Temperature
a numeric vector
Sunshine
a numeric vector
Heat
a numeric vector
Rain
a numeric vector
Quality
an ordered factor with levels 1 < 2 < 3
Details
The bordeauxNA is a dataset with a missing value for testing purpose.
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.