R/automobile.R

In itdr: Integral Transformation Methods for SDR in Regression

#' Automobiles Data
#' @description
#' This data set contains details about automobiles sources from 1985 Ward's Automotive Yearbook.
#'
#' @format A dataset consists of 205 observations and 26 attributes, including
#' \describe{
#'   \item{symboling}{-3, -2, -1, 0, 1, 2, 3.}
#'   \item{normalized}{continuous Ranging from 65 to 256.}
#'   \item{make}{alfa-romero, audi, bmw, chevrolet, dodge, honda,isuzu, jaguar, mazda, mercedes-benz, mercury,mitsubishi, nissan, peugot, plymouth, porsche,renault, saab, subaru, toyota, volkswagen, volvo}
#'   \item{fuel-type}{diesel, gas.}
#'   \item{aspiration}{std, turbo.}
#'   \item{num-of-doors}{four, two.}
#'   \item{body-style}{hardtop, wagon, sedan, hatchback, convertible.}
#'   \item{drive-wheels}{4wd, fwd, rwd.}
#'   \item{engine-location}{front, rear.}
#'   \item{wheel-base}{continuous values, ranging from 86.6 120.9.}
#'   \item{length}{continuous values, ranging from 141.1 to 208.1.}
#'   \item{width}{continuous values, ranging from 60.3 to 72.3.}
#'   \item{height}{continuous values, ranging from 47.8 to 59.8.}
#'   \item{curb-weight}{continuous values, ranging from 1488 to 4066.}
#'   \item{engine-type}{dohc, dohcv, l, ohc, ohcf, ohcv, rotor.}
#'   \item{num-of-cylinders}{eight, five, four, six, three, twelve, two.}
#'   \item{engine-size}{continuous values, ranging from 61 to 326.}
#'   \item{fuel-system}{1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi.}
#'   \item{bore}{continuous values, ranging from 2.54 to 3.94.}
#'   \item{stroke}{continuous values, ranging from 2.07 to 4.17.}
#'   \item{compression-ratio}{continuous values, ranging from 7 to 23.}
#'   \item{horsepower}{continuous values, ranging from 48 to 288.}
#'   \item{peak-rpm}{continuous values, ranging from 4150 to 6600.}
#'   \item{city-mpg}{continuous values, ranging from 13 to 49.}
#'   \item{highway-mpg}{continuous values, ranging from 16 to 54.}
#'   \item{price}{continuous values, ranging from 5118 to 45400.}
#' }
#' @usage data(automobile)
#' @source \url{https://archive.ics.uci.edu/ml/datasets/automobile}
"automobile"
#> [1] "automobile"