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).

Kristian Hovde Liland

Partial Least Squares and Principal Component Regression

Bjørn-Helge Mevik

Ron Wehrens

Paul Hiemstra

yarn function

A data frame with components<dl>
<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>
<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

Arguments

Format