pine_sup | R Documentation |

This is a supplementary dataset (used as a test set for the `pine`

dataset) that was extracted from a 1973 study on pine_sup processionary
caterpillars. It assesses the influence of some forest settlement
characteristics on the development of caterpillar colonies. The response
variable is the logarithmic transform of the average number of nests of
caterpillars per tree in an area of 500 square meters (`x11`

). There
are k=10 potentially explanatory variables defined on n=22 areas.

A data frame with 22 observations on the following 11 variables.

- x1
altitude (in meters)

- x2
slope (en degrees)

- x3
number of pine_sups in the area

- x4
height (in meters) of the tree sampled at the center of the area

- x5
diameter (in meters) of the tree sampled at the center of the area

- x6
index of the settlement density

- x7
orientation of the area (from 1 if southbound to 2 otherwise)

- x8
height (in meters) of the dominant tree

- x9
number of vegetation strata

- x10
mix settlement index (from 1 if not mixed to 2 if mixed)

- x11
logarithmic transform of the average number of nests of caterpillars per tree

These caterpillars got their names from their habit of moving over the
ground in incredibly long head-to-tail processions when leaving their nest
to create a new colony.

The `pine_sup`

dataset can be used as a test set to assess model
prediction error of a model trained on the `pine`

dataset.

Tomassone R., Audrain S., Lesquoy-de Turckeim E., Millier C. (1992),
“La régression, nouveaux regards sur une ancienne
méthode statistique”, INRA,
*Actualités Scientifiques et Agronomiques*, Masson,
Paris.

J.-M. Marin, C. Robert. (2007). *Bayesian Core: A Practical
Approach to Computational Bayesian Statistics*. Springer, New-York, pages
48-49.

```
data(pine_sup)
str(pine_sup)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.