R/gasoline-data.R

In refunders/refund: Regression with Functional Data

##' Octane numbers and NIR spectra of gasoline
##'
##' Near-infrared reflectance spectra and octane numbers of 60 gasoline
##' samples.  Each NIR spectrum consists of log(1/reflectance) measurements at
##' 401 wavelengths, in 2-nm intervals from 900 nm to 1700 nm.  We thank Prof.
##' John Kalivas for making this data set available.
##'
##'
##' @name gasoline
##' @docType data
##' @format A data frame comprising \describe{
##' \item{octane}{a numeric
##' vector of octane numbers for the 60 samples.}
##' \item{NIR}{a 60 x 401
##' matrix of NIR spectra.}
##' }
##' @seealso \code{\link{fpcr}}
##' @references For applications of functional principal component regression
##' to this data set:
##'
##' Reiss, P. T., and Ogden, R. T. (2007).  Functional principal component
##' regression and functional partial least squares.  \emph{Journal of the
##' American Statistical Association}, 102, 984--996.
##'
##' Reiss, P. T., and Ogden, R. T. (2009).  Smoothing parameter selection for a
##' class of semiparametric linear models.  \emph{Journal of the Royal
##' Statistical Society, Series B}, 71(2), 505--523.
##' @source Kalivas, John H. (1997).  Two data sets of near infrared spectra.
##' \emph{Chemometrics and Intelligent Laboratory Systems}, 37, 255--259.
##' @keywords datasets
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