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#' Pupils' marks from GCSE exams (UK, 1989).
#'
#' GCSE exam results, taken from 73 schools in England, consisting of 1905
#' pupils.
#'
#' The \code{gcsemv1} dataset is one of the sample datasets provided with the
#' multilevel-modelling software package MLwiN (Rasbash et al., 2009); for
#' further details see Rasbash et al. (2012).
#'
#' @docType data
#' @format A data frame with 1905 observations on the following variables:
#' \describe{
#' \item{school}{School identification (level 2 unit).}
#' \item{student}{Student identification (level 1 unit).}
#' \item{female}{Gender: a factor with levels \code{Female} and \code{Male}.}
#' \item{agemths}{Age in months.}
#' \item{written}{Score on the written component.}
#' \item{csework}{Score on the coursework component.}
#' \item{cons}{Constant (= 1).}
#' }
#' @seealso See \code{mlmRev} package for an alternative format of the same
#' dataset, with fewer variables.
#' @source Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B.
#' (2009) \emph{MLwiN Version 2.1.} Centre for Multilevel Modelling, University
#' of Bristol.
#'
#' Rasbash, J., Steele, F., Browne, W.J. and Goldstein, H. (2012) \emph{A
#' User's Guide to MLwiN Version 2.26.} Centre for Multilevel Modelling,
#' University of Bristol.
#' @keywords datasets
#' @examples
#'
#' \dontrun{
#'
#' data(gcsemv1, package = "R2MLwiN")
#'
#' (mymodel <- runMLwiN(c(written, csework) ~ 1 + female + (1 | school) + (1 | student),
#' D = "Multivariate Normal", estoptions = list(EstM = 1), data = gcsemv1))
#'
#' }
#'
"gcsemv1"
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