R/met.R

In GRNNs: General Regression Neural Networks Package

#' @title meteorological dataset
#' @description Data from a global collection by Robert A. Spicer.
#' It include 11 climate variables from 378 sites.
#' @format A data frame with 378 rows and 11 variables:
#' \describe{
#'   \item{\code{MAT}}{double COLUMN_DESCRIPTION}
#'   \item{\code{WMMT}}{double COLUMN_DESCRIPTION}
#'   \item{\code{CMMT}}{double COLUMN_DESCRIPTION}
#'   \item{\code{GROWSEAS}}{double COLUMN_DESCRIPTION}
#'   \item{\code{GSP}}{double COLUMN_DESCRIPTION}
#'   \item{\code{MMGSP}}{double COLUMN_DESCRIPTION}
#'   \item{\code{Three_WET}}{double COLUMN_DESCRIPTION}
#'   \item{\code{Three_DRY}}{double COLUMN_DESCRIPTION}
#'   \item{\code{RH}}{double COLUMN_DESCRIPTION}
#'   \item{\code{SH}}{double COLUMN_DESCRIPTION}
#'   \item{\code{ENTHAL}}{double COLUMN_DESCRIPTION}
#'}
#' @details DETAILS
"met"