print.spectral_prediction

Prints the content of an object of class <code>spectral_prediction</code>

internal

Provides tools to build quantitative chemometric models and
applications for near-infrared (NIR) sensors. Chemometric regression
models are based on partial least squares regression as described by
Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified
partial least squares regression as described by Shenk and Westerhaus
(1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further
discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.

Leonardo Ramirez-Lopez

proximetricsR

Spectral Preprocessing and Chemometric Calibration of NIR
Sensors

Claudio Orellano

Nicolae Cudlenco

Mai Said

Mohamed Abushosha

Marcal Plans

print.spectral_prediction function

<dl><dt>x</dt>
<dd>an object of class <code>spectral_prediction</code> (as returned by the
<code>predict</code> function).</dd>
<dt>...</dt>
<dd>arguments to be passed to methods (not functional).</dd></dl>

Arguments

Author

Print method for an object of class spectral_prediction — print.spectral_prediction

<dl>

<dt>x</dt>
<dd>an object of class <code>spectral_prediction</code> (as returned by the
<code>predict</code> function).</dd>


<dt>...</dt>
<dd>arguments to be passed to methods (not functional).</dd>

</dl>

print.spectral_prediction: Print method for an object of class `spectral_prediction`

Description

Usage

Value

Arguments

Author