yarn

A training set consisting of 21 NIR spectra of PET yarns, measured at
 268 wavelengths, and 21 corresponding densities. A test set of 7
 samples is also provided. Many thanks to Erik Swierenga.

datasets

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

Bj�rn-Helge Mevik

Partial Least Squares and Principal Component Regression

yarn function

A data frame with components<dl class="dl-horizontal">
 <dt>NIR</dt><dd>Numeric matrix of NIR measurements</dd>
 <dt>density</dt><dd>Numeric vector of densities</dd>
 <dt>train</dt><dd>Logical vector with <code>TRUE</code> for the training
 samples and <code>FALSE</code> for the test samples</dd>
 </dl>

Format

NIR spectra and density measurements of PET yarns — yarn

A data frame with components<dl class='dl-horizontal'>
 <dt>NIR</dt><dd>Numeric matrix of NIR measurements</dd>
 <dt>density</dt><dd>Numeric vector of densities</dd>
 <dt>train</dt><dd>Logical vector with <code>TRUE</code> for the training
 samples and <code>FALSE</code> for the test samples</dd>
 </dl>

yarn: NIR spectra and density measurements of PET yarns

Description

Usage

Arguments

Format