R/red_train.R

In group-wine/sommelieR: Fitting Linear, Multinomial, and Partial Proportional Odds Models to Predict Wine Quality

#' Training dataset of quality ratings for red wine
#'
#' A training dataset containing the quality ratings and chemical characteristics of red wine.
#'
#' @format A data frame with 12 variables:
#' \describe{
#'   \item{fixed.acidity}{Fixed acidity.}
#'   \item{volatile.acidity}{Volatile acidity}
#'   \item{citric.acid}{Citric acid}
#'   \item{residual.sugar}{Residual sugar}
#'   \item{chlorides}{chlorides}
#'   \item{free.sulfur.dioxide}{Free sulfur dioxide}
#'   \item{total.sulfur.dioxide}{Total sulfur dioxide}
#'   \item{density}{density}
#'   \item{pH}{pH}
#'   \item{sulphates}{sulphates}
#'   \item{alcohol}{alcohol}
#'   \item{quality}{quality score}
#' }
#' @source \url{http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/}
"red_train"