projected-class

The projected class defines the superclass for projection methods,
specially for multiway principal component analysis and discriminant
analysis based on partial least squares. The class represents the 
convergence of in-package results (m_prcomp) and the foreing 
building model (PLS-DA) procedure.

Toolbox for chemometrics analysis of bidimensional gas
chromatography data. This package import data for common scientific data
format (NetCDF) and fold it to 2D chromatogram. Then, it can perform
preprocessing and multivariate analysis. In the preprocessing algorithms,
baseline correction, smoothing, and peak alignment are available.
While in multivariate analysis, multiway principal component analysis is
incorporated.

Cristian Quiroz-Moreno

RGCxGC

Preprocessing and Multivariate Analysis of Bidimensional Gas
Chromatography Data

Guilherme L. Alexandrino

Noroska G.S. Mogollón

projected-class function

<dl>
<dt><code>loadings</code></dt>
<dd>The eigenvectors of each principal component.</dd></dl>
<dt><code>time</code></dt>
<dd>The time range of chromatographic run</dd>
<dt><code>mod_time</code></dt>
<dd>modulation time of the second dimension</dd>

Slots

Class projected — projected-class

<dl>
<dt><code>loadings</code></dt>
<dd>The eigenvectors of each principal component.</dd>


<dt><code>time</code></dt>
<dd>The time range of chromatographic run</dd>


<dt><code>mod_time</code></dt>
<dd>modulation time of the second dimension</dd>


</dl>

projected-class: Class projected

Description

Arguments

Slots