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