| % File src/library/datasets/man/longley.Rd |
| % Part of the R package, https://www.R-project.org |
| % Copyright 1995-2014 R Core Team |
| % Distributed under GPL 2 or later |
| |
| \name{longley} |
| \docType{data} |
| \alias{longley} |
| \title{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 (\eqn{n=16}). |
| \describe{ |
| \item{\code{GNP.deflator}}{GNP implicit price deflator (\eqn{1954=100})} |
| \item{\code{GNP}}{Gross National Product.} |
| \item{\code{Unemployed}}{number of unemployed.} |
| \item{\code{Armed.Forces}}{number of people in the armed forces.} |
| \item{\code{Population}}{\sQuote{noninstitutionalized} population |
| \eqn{\ge} 14 years of age.} |
| \item{\code{Year}}{the year (time).} |
| \item{\code{Employed}}{number of people employed.} |
| } |
| |
| The regression \code{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. |
| \emph{Journal of the American Statistical Association} \bold{62}, |
| 819--841. |
| } |
| \references{ |
| Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) |
| \emph{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) |
| } |
| \keyword{datasets} |