R/data.R

In shafayetShafee/datapackage: Two datasets

#' Belle Ayr Liquefaction Runs
#'
#' A dataset containing 27 runs presenting performance of a chemical process (CO2
#' production) as a function of several controllable process variables. There are
#' Eight variables giving information on 27 runs. So there are 27 rows and 9
#' columns in the dataset.
#'
#' @format A data frame with 27 rows and 9 variables:
#' \describe{
#'   \item{\code{runs}}{Run No.}
#'   \item{\code{co2}}{CO_2 produced}
#'   \item{\code{time}}{space time, in min}
#'   \item{\code{temp}}{Temperature, in Degree celcius}
#'   \item{\code{perc}}{Percent Solvation}
#'   \item{\code{oil}}{Oil Yield (g/100g MAF)}
#'   \item{\code{coal}}{Coal Total}
#'   \item{\code{solvent}}{Solvent Total}
#'   \item{\code{h2}}{Hydrogen Consumption}
#' }
#' @source Montgomery, D.C., Peck, E.A., and Vining, C.G. (2001) Introduction
#' to Linear Regression Analysis. 3rd Edition, John Wiley and Sons.
#'
#' @references (1978) Belle Ayr Liquefaction Runs with Solvent. Industrial
#' Chemical Process Design Development, 17, 3
"DATASET"