| bordeauxNA {plsRglm} | R Documentation |
Quality of wine dataset
Description
Quality of Bordeaux wines (Quality) and four potentially predictive
variables (Temperature, Sunshine, Heat and
Rain).
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 value of x1 for the first observation was removed from the matrix of predictors on purpose.
The bordeauxNA is a dataset with a missing value for testing purpose.
Source
P. Bastien, V. Esposito-Vinzi, and M. Tenenhaus. (2005). PLS generalised linear regression. Computational Statistics & Data Analysis, 48(1):17-46.
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
data(bordeauxNA)
str(bordeauxNA)