R: Longley's Economic Regression Data

longley {datasets} | R Documentation

## Longley's Economic Regression Data

### Description

A macroeconomic data set which provides a well-known example for a highly collinear regression.

### Usage

    longley

### Format

A data frame with 7 economical variables, observed yearly from 1947 to 1962 (n=16).

`GNP.deflator`

  GNP implicit price deflator (1954=100)

`GNP`

  Gross National Product.

`Unemployed`

  number of unemployed.

`Armed.Forces`

  number of people in the armed forces.

`Population`

  ‘noninstitutionalized’ population ≥ 14 years of age.

`Year`

  the year (time).

`Employed`

  number of people employed.

The regression `lm(Employed ~ .)` is known to be highly collinear.

### Source

J. W. Longley (1967) An appraisal of least-squares programs from the point of view of the user. Journal of the American Statistical Association 62, 819–841.

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

### Examples

    require(stats); require(graphics)
    ## give the data set in the form it is used in S-PLUS:
    longley.x <- data.matrix(longley[, 1:6])
    longley.y <- longley[, "Employed"]
    pairs(longley, main = "longley data")
    summary(fm1 <- lm(Employed ~ ., data = longley))
    opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0),
                mar = c(4.1, 4.1, 2.1, 1.1))
    plot(fm1)
    par(opar)

[Package datasets version 4.0.5 Index]