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#' @name reti
#' @title Example Retinopathy
#' @description The data set contains information about persons with retinopathy. In the 6-year followup study on diabetes
#' and retinopathy status the interesting question is how the retinopathy status is associated wie several risk factors.
#' @docType data
#' @usage data(reti)
#' @format A data frame containing 613 observations on 5 variables:
#'
#' \code{RET } retinopathy status (1:no retinopathy, 2:nonproliferative retinopathy, 3:advanced retinopathy or
#' blind)
#'
#' \code{SM } smoker (1:yes, 0:no)
#'
#' \code{DIAB } diabetes duration in years
#'
#' \code{GH } glycosylated hemoglobin measured in percent
#'
#' \code{BP } diastolic blood pressure in mmHg
#'
#'
#' @references
#'
#' Bender and Grouven (1998): Using binary logistic regression models for ordinal data with nonproportional
#' odds, J. Clin. Epidemiol., 51, 809-816.
#'
#'
#' @examples
#' data(reti)
#' table(reti$RET)
#'
#'
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