#' @title DataSt3.2 for Example 3.3, Example 3.4, Example3.6, Example3.8 and Example 3.9 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup
#' @name DataSet3.2
#' @docType data
#' @keywords datasets
#' @usage data(DataSet3.2)
#' @description DataSet3.2 Multi-Location, 4 Treatment Randomized Block
#' @format A \code{data.frame} with 32 rows and 10 variables.
#' @details
#' \itemize{
#' \item trt two treatment 0 and 1
#' \item loc four locations used as blocks
#' \item Y is Gaussian response variable
#' \item Nbin subjects at each Loc x Trt for binomial response
#' \item S1 and S2 are two binomial response variables
#' \item count1 and count 2 used later
#' \item A and B are factors with level 0 and 1
#' }
#' @author \enumerate{
#' \item Muhammad Yaseen (\email{myaseen208@@gmail.com})
#' \item Adeela Munawar (\email{adeela.uaf@@gmail.com})
#' }
#' @references \enumerate{
#' \item Stroup, W. W. (2012).\emph{Generalized linear mixed models: modern concepts, methods and applications}.
#' CRC press.
#' }
#' @seealso
#' \code{\link{Exam3.3}}
#' \code{\link{Exam3.9}}
#' @examples
#' data(DataSet3.2)
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