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.

1 |

A data frame comprising

`octane`

a numeric vector of octane numbers for the 60 samples.

`NIR`

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.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.