##=============================================================================

##

## Copyright (c) 2019 Marco Colombo

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## This program is free software: you can redistribute it and/or modify

## it under the terms of the GNU General Public License as published by

## the Free Software Foundation, either version 3 of the License, or

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## GNU General Public License for more details.

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##=============================================================================

#' Diabetes data with interaction terms

#'

#' The dataset consists of observations on 442 individuals for which a

#' quantitative measure of diabetes progression is recorded in variable `Y`.

#' Predictors include 10 baseline measurements, 45 interactions and 9 quadratic

#' terms, for a total of 64 variables for each individual. Each variable has

#' been standardized by subtracting the mean and then dividing it by its

#' standard deviation.

#'

#' @format

#' A data frame with 442 rows and 65 columns (centred and scaled).

#'

#' @source

#' B. Efron, T. Hastie, I. Johnstone and R. Tibshirani (2004),

#' Least angle regression, _The Annals of Statistics_, 32 (2), 407-499.

#' \doi{10.1214/009053604000000067}

#'

#' The original dataset is available from

#' \url{https://web.stanford.edu/~hastie/Papers/LARS/data64.txt}

#'

#' @examples

#' data(diabetes, package="hsstan")

#'

#' @name diabetes

#' @docType data

#' @keywords datasets

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