mayonnaise: NIR measurements and oil types of mayonnaise
In pls: Partial Least Squares and Principal Component Regression
mayonnaise R Documentation
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 Nov. 18, 2023, 1:11 a.m.
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| mayonnaise | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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