hdrm: High-Dimensional Regression Modeling

#' Classification of e-mail into spam
#' 
#' @description
#' 
#' The concept of unsolicited commercial e-mail, or "spam", is diverse and includes
#' such examples as advertisements for products or web sites, get rich quick
#' schemes, chain letters, and pornography. This is a collection of spam and
#' non-spam e-mails assembled by George Forman at Hewlett-Packard in June and July
#' of 1999. Forman, together with a team of collaborators, also extracted 57
#' numeric features from the e-mails that could potentially be used to classify the
#' e-mails.
#' 
#' Note that this is a personal collection, and thus some of the features are
#' highly specific (e.g., the name "George", the phone number 650-857-7835, etc.).
#' 
#' @format
#' 
#' * `y` is equal to 1 if spam, 0 if not
#' * `X` is a matrix with 3000 rows and 57 columns:
#'   * 48 continuous features of the form `word_freq_WORD` that record the percent
#'     of words in the e-mail that match WORD. For example, if `word_freq_you`
#'     equals 1.43, it means that 1.43% of words in the e-mail are "you".
#'   * 6 continuous features of the form `char_freq_CHAR` that record the percent
#'     of characters in the e-mail that match CHAR.
#'   * `capital_run_length_average`: average length of uninterrupted sequences of
#'     capital letters
#'   * `capital_run_length_longest`: length of longest uninterrupted sequence of
#'     capital letters
#'   * `capital_run_length_total`: sum of length of uninterrupted sequences of
#'     capital letters (i.e., the total number of capital letters in the e-mail)
#' * `Xtest` and `ytest`: 1601 additional instances. Training and testing sets were
#'   sampled at random from the original data set, which contained 4601 instances.
#' 
#' @source
#' 
#' I obtained this data set from the [UCI Machine Learning
#' Repository](http://archive.ics.uci.edu/ml/datasets/Spambase/). The data set was
#' originally created by Mark Hopkins, Erik Reeber, George Forman, and Jaap
#' Suermondt at Hewlett-Packard Labs in Palo Alto, CA.
#' 
#' @name spam
NULL