#' Synthetic Control Chart Time Series Data Set
#'
#'This dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different classes of control charts:
#'
#' \itemize{
#' \item Normal
#' \item Cyclic
#' \item Increasing trend
#' \item Decreasing trend
#' \item Upward shift
#' \item Downward shift
#' }
#' @source Statistics Canada. Table 001-0008 - Production and farm value of
#' maple products, annual. \url{http://archive.ics.uci.edu/ml/datasets/synthetic+control+chart+time+series}
#' @format A data frame with 600 rows, 60 columns, with a single chart per line. The classes are organized as follows:
#' \itemize{
#' \item 1-100 Normal
#' \item 101-200 Cyclic
#' \item 201-300 Increasing trend
#' \item 301-400 Decreasing trend
#' \item 401-500 Upward shift
#' \item 501-600 Downward shift
#' }
#'
#' @docType data
#' @keywords datasets
#' @examples
#' \dontrun{
#' synthetic
#' }
"synthetic"
#' Distance Matrix for Synthetic Control Chart Time Series Data Set
#'
#' Distance Matrix for Synthetic Control Chart Time Series Data Set. We used Dynamic Time Warping (DTW) for measuring similarity between the temporal sequences.
#' @format dist object
#' @keywords distance matrix
#' @examples
#' \dontrun{
#' synthetic_distances
#' }
"synthetic_distances"
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