refund.wave (version 0.1)

gasoline: Octane numbers and NIR spectra of gasoline

Description

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.

Usage

data(gasoline)

Format

A data frame comprising

octane

a numeric vector of octane numbers for the 60 samples.

NIR

a 60 x 401 matrix of NIR spectra.

Source

Kalivas, John H. (1997). Two data sets of near infrared spectra. Chemometrics and Intelligent Laboratory Systems, 37, 255--259.

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. 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. Journal of the Royal Statistical Society, Series B, 71(2), 505--523.