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#' Leukemia Remission Dataset
#'
#' A dataset containing information about leukemia remission and associated risk factors.
#' This dataset is commonly used for demonstrating logistic regression analysis in medical research.
#'
#' @format A data frame with 27 observations and 7 variables:
#' \describe{
#' \item{remiss}{Binary outcome variable indicating leukemia remission status:
#' \itemize{
#' \item 1 = Remission occurred
#' \item 0 = No remission
#' }
#' }
#' \item{cell}{Numeric. Cellularity of the marrow clot section (percentage)}
#' \item{smear}{Numeric. Smear differential percentage of blasts}
#' \item{infil}{Numeric. Percentage of absolute marrow leukemia cell infiltrate}
#' \item{li}{Numeric. Percentage labeling index of the bone marrow leukemia cells}
#' \item{blast}{Numeric. Absolute number of blasts in the peripheral blood}
#' \item{temp}{Numeric. Highest temperature (in Fahrenheit) before treatment}
#' }
#'
#' @details This dataset is particularly useful for:
#' \itemize{
#' \item Demonstrating logistic regression analysis
#' \item Studying risk factors for leukemia remission
#' \item Teaching medical statistics and predictive modeling
#' }
#'
#' @source Lee, E. T. (1974). "A Computer Program for Linear Logistic Regression Analysis."
#' Computer Programs in Biomedicine 4:80–92.
#'
#' @references
#' \itemize{
#' \item Lee, E. T. (1974). "A Computer Program for Linear Logistic Regression Analysis."
#' Computer Programs in Biomedicine 4:80–92.
#' \item Penn State University Statistics Online. "Logistic Regression Example."
#' }
#'
#' @examples
#' \dontrun{
#' # Load the dataset
#' data(remission)
#'
#' # View first few rows
#' head(remission)
#'
#' # Summary statistics
#' summary(remission)
#'
#' # Run logistic regression
#' model <- glm(remiss ~ ., data = remission, family = binomial)
#' summary(model)
#' }
#'
#' @usage data(remission)
#' @name remission
#' @docType data
#' @keywords datasets
"remission"
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