GmAMisc: Gianmarco Alberti Miscellaneous

#' Dataset: admission to graduate school
#'
#' A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors.
#' Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/
#'
#' \itemize{
#'   \item admit. Binary dependent variable (admission yes=1, admission no=0)
#'   \item gre. Graduate Record Exam score; predictor (continuous)
#'   \item gpa. Grade Point Average; predictor (continuous)
#'   \item rank. Prestige of the undergraduate school (ordinal)
#' }
#'
#' @docType data
#' @keywords datasets
#' @name log_regr_data
#' @usage data(log_regr_data)
#' @format A data frame with 400 rows and 4 variables
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