predictionTest-class

A virtual class for all predictor test subclasses. Currently
 subclasses <code><a href="/link/?package=baseline&version=1.3-1" plsrtest'="" data-mini-rdoc="baseline::"></a>'>PLSRTest</code> and
 <code><a href="/link/?package=baseline&version=1.3-1" ridgeregressiontest'="" data-mini-rdoc="baseline::"></a>'>ridgeRegressionTest</code> are defined.

classes

Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.

Kristian Hovde Liland

baseline

Baseline Correction of Spectra

Bjørn-Helge Mevik

Roberto Canteri

predictionTest-class function

A virtual Class: No objects may be created from it.

Objects from the Class

No methods defined with class "predictionTest" in the signature.

Methods

A virtual class for all predictor test subclasses. Currently
 subclasses <code><a href='<a href='PLSRTest'></a>'>PLSRTest</a></code> and
 <code><a href='<a href='ridgeRegressionTest'></a>'>ridgeRegressionTest</a></code> are defined.

State of Data and AI Literacy Report 2025

predictionTest-class: Class "predictionTest"

Description

Arguments

Objects from the Class

Methods

See Also