mayonnaise: NIR measurements and oil types of mayonnaise

In pls: Partial Least Squares and Principal Component Regression

NIR measurements and oil types of mayonnaise

Description

Raw NIR measurements (351 wavelengths, 1100-2500 nm in steps of 4 nm) taken on 54 samples of mayonnaise based on six different oil types (soybean, sunflower, canola, olive, corn, and grapeseed). The resulting 54 samples were measured in triplicates, resulting in 54 x 3 = 162 different spectra (120/42 training/test).

Format

A data frame with 162 observations on the following 4 variables.

NIR

a matrix with 351 columns

oil.type

a numeric vector

design

a matrix with 5 columns

train

a logical vector

Source

Indahl U, Sahni NS, Kirkhus B, Næs T. Multivariate strategies for classification based on NIR-spectra-with application to mayonnaise. Chemometr. Intell. Lab. Sys. 1999; 49: 19-31.

pls documentation built on Sept. 16, 2024, 1:07 a.m.