bordeauxNA | R Documentation |

Quality of Bordeaux wines (`Quality`

) and four potentially predictive
variables (`Temperature`

, `Sunshine`

, `Heat`

and
`Rain`

).

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`

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.

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(bordeauxNA)
str(bordeauxNA)
```

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