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.
A data frame comprising
a numeric vector of octane numbers for the 60 samples.
a 60 x 401 matrix of NIR spectra.
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.