RobStatTM: Robust Statistics: Theory and Methods

#' Wine data
#'
#' It contains, for each of 59 wines grown in the same region in Italy, the quantities of 13
#' constituents. The original purpose of the analysis was to classify wines from different
#' cultivars by means of these measurements. In this example we treat cultivar one.
#'
#' Format: Numeric, 59 rows and 13 columns. Description: The attributes are:
#' 1. Alcohol
#' 2. Malic acid
#' 3. Ash
#' 4. Alcalinity of ash
#' 5. Magnesium
#' 6. Total phenols
#' 7. Flavanoids
#' 8. Nonflavanoid phenols
#' 9. Proanthocyanins
#' 10. Color intensity
#' 11. Hue
#' 12. OD280/OD315 of diluted wines
#' 13. Proline
#'
#' @docType data
#'
#' @usage data(wine)
#'
#' @format An object of class \code{"data.frame"}.
#'
#' @source Hettich, S. and Bay, S.D. (1999), The UCI KDD Archive http://kdd.ics.uci.edu.
#' Irvine, CA: University of California, Department of Information and Computer Science.
#'
#' @examples
#' data(wine)
"wine"