wood {rrcov} | R Documentation |

## Modified Wood Gravity Dataset

### Description

The original data are from Draper and Smith (1966) and
were used to determine the influence of anatomical factors on wood
specific gravity, with five explanatory variables and an
intercept. These data were contaminated by replacing a few
observations with outliers.

### Usage

data(wood)

### Format

A data frame with 20 observations on the following 6 variables.

- X1
- X1
- X2
- X2
- X3
- X3
- X4
- X4
- X5
- X5
- Y
- Y

For convenience, the data sets `wood.x`

, a matrix with the first 5 (independent)
variables of the data frame, and `wood.y`

, the numeric vector giving the sixth
(dependent) variable, are provided as well.

### Source

P. J. Rousseeuw and A. M. Leroy (1987)
*Robust Regression and Outlier Detection.* Wiley, p.243, table 8.

### Examples

data(wood)
plot(wood.x)
covMcd(wood.x)
summary(lm.wood <- lm(wood.y ~ wood.x))

[Package

*rrcov* version 0.2-5

Index]