#' @title Example 2.B.1 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-53)
#' @name Exam2.B.1
#' @docType data
#' @keywords datasets
#' @description Exam2.B.1 is used to visualize the effect of lm model statement with Gaussian data and their design matrix
#' @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{Table1.1}}
#'
#' @importFrom stats lm summary.lm
#'
#' @examples
#' #-----------------------------------------------------------------------------------
#' ## Linear Model discussed in Example 2.B.1 using simple regression data of Table1.1
#' #-----------------------------------------------------------------------------------
#' data(Table1.1)
#' Exam2.B.1.lm1 <-
#' lm(
#' formula = y~x
#' , data = Table1.1
#' # , subset
#' # , weights
#' # , na.action
#' , method = "qr"
#' , model = TRUE
#' # , x = FALSE
#' # , y = FALSE
#' , qr = TRUE
#' , singular.ok = TRUE
#' , contrasts = NULL
#' # , offset
#' # , ...
#' )
#' summary(Exam2.B.1.lm1)
#' DesignMatrix.lm1 <-
#' model.matrix (
#' object = Exam2.B.1.lm1
#' )
#' DesignMatrix.lm1
NULL
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