#' Randomly generated dataset for linear regression modeling
#'
#' A dataset containing the randomly generated variables.
#'
#' @format A matrix with 10000 rows and 6 variables :
#' \describe{
#' \item{y}{a 1-D numeric vector generated by multiplying x with randomly generated betas from the normal distribution with mean = 1 and sd = 10, then adding errors randomly generated from the normal distribution with mean = 0 and sd = 0.5}
#' \item{x1-5}{randomly generated variables from the normal distribution with mean = 0 and sd = 1}
#' ...
#' }
#'
"simdata"
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