reconstruction_error

Projects spectra onto a PLS space and then reconstructs it back.

internal

Functions for dissimilarity analysis and memory-based learning
(MBL, a.k.a local modeling) in complex spectral data sets.
Most of these functions are based on the methods presented in
Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

Leonardo RamirezLopez

resemble

Memory-Based Learning in Spectral Chemometrics

reconstruction_error function

<dl><dt>x</dt>
<dd>a matrix to project.</dd>
<dt>projection_mat</dt>
<dd>the projection matrix generated by the <code>opls_get_basics</code> function.</dd>
<dt>xloadings</dt>
<dd>the loadings matrix generated by the <code>opls_get_basics</code> function.</dd>
<dt>scale</dt>
<dd>logical indicating if scaling is required</dd>
<dt>Xcenter</dt>
<dd>a matrix of one row with the centering values</dd>
<dt>Xscale</dt>
<dd>a matrix of one row with the scaling values</dd>
<dt>scale_back</dt>
<dd>compute the reconstruction error after de-centering the
data and de-scaling it.</dd></dl>

Arguments

Author

Projection to pls and then re-construction — reconstruction_error

<dl>

<dt>x</dt>
<dd>a matrix to project.</dd>


<dt>projection_mat</dt>
<dd>the projection matrix generated by the <code>opls_get_basics</code> function.</dd>


<dt>xloadings</dt>
<dd>the loadings matrix generated by the <code>opls_get_basics</code> function.</dd>


<dt>scale</dt>
<dd>logical indicating if scaling is required</dd>


<dt>Xcenter</dt>
<dd>a matrix of one row with the centering values</dd>


<dt>Xscale</dt>
<dd>a matrix of one row with the scaling values</dd>


<dt>scale_back</dt>
<dd>compute the reconstruction error after de-centering the
data and de-scaling it.</dd>

</dl>

reconstruction_error: Projection to pls and then re-construction

Description

Usage

Value

Arguments

Author