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#' @name rent
#' @title Munich Rent Data
#' @description The data set is part of the Munich rent index in 2003. It is available from the data archive
#' of the Department of Statistics at the University of Munich (http://www.statistik.lmu.de/service/datenarchiv).
#' @docType data
#' @usage data(rent)
#' @format A data frame containing 2053 observations on 11 variables:
#'
#' \bold{nmqm} net rent per square meter (metric)
#'
#' \bold{wfl} floor space (metric)
#'
#' \bold{rooms} number of rooms (ordinal)
#'
#' \bold{bj} year of construction (ordinal)
#'
#' \bold{bez} residential area (norminal)
#'
#' \bold{ww0} hot water supply (1: no, 0: yes)
#'
#' \bold{zh0} central heating (1: no, 0: yes)
#'
#' \bold{badkach0} tiled bathroom (1: no, 0: yes)
#'
#' \bold{badextra} supplementary equipment in bathroom (1: yes, 0: no)
#'
#' \bold{kueche} well equipped kitchen (1: yes, 0: no)
#'
#' \bold{quality} quality of residential area (ordinal)
#' @references
#' Fahrmeir, L. and Kuenstler, R. and Pigeot, I. and Tutz, G. (2004): Statistik: der Weg zur Datenanalyse. 5. Auflage, Springer, Berlin.
#' @examples
#' data(rent)
#'
#' y <- rent$nmqm
#' X <- rent[,-1]
#'
#' boxplot(y)
#' summary(X)
#'
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