gasoline

A data set with NIR spectra and octane numbers of 60 gasoline samples. The
NIR spectra were measured using diffuse reflectance as log(1/R) from 900 nm
to 1700 nm in 2 nm intervals, giving 401 wavelengths. Many thanks to John
H. Kalivas.

datasets

Multivariate regression methods
Partial Least Squares Regression (PLSR), Principal Component
Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

Kristian Hovde Liland

Partial Least Squares and Principal Component Regression

Bjørn-Helge Mevik

Ron Wehrens

Paul Hiemstra

gasoline function

A data frame with 60 observations on the following 2 variables.<dl>
<dt>octane</dt>
<dd>a numeric vector. The octane number.</dd><dt>NIR</dt>
<dd>a matrix with 401 columns. The NIR spectrum.</dd>
 
</dl>

Format

Octane numbers and NIR spectra of gasoline — gasoline

A data frame with 60 observations on the following 2 variables.<dl>
<dt>octane</dt>
<dd>a numeric vector. The octane number.</dd>

<dt>NIR</dt>
<dd>a matrix with 401 columns. The NIR spectrum.</dd>
 
</dl>

gasoline: Octane numbers and NIR spectra of gasoline

Description

Arguments

Format