pineNAX21 {plsRglm} | R Documentation |
Incomplete dataset from the pine caterpillars example
Description
The caterpillar dataset was extracted from a 1973 study on pine
processionary caterpillars. It assesses the influence of some forest
settlement characteristics on the development of caterpillar colonies. There
are k=10 potentially explanatory variables defined on n=33 areas.
The
value of x2 for the first observation was removed from the matrix of
predictors on purpose.
Format
A data frame with 33 observations on the following 11 variables and one missing value.
- x1
altitude (in meters)
- x2
slope (en degrees)
- x3
number of pines 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
Details
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 pineNAX21
is a dataset with a missing
value for testing purpose.
Source
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.
Examples
data(pineNAX21)
str(pineNAX21)