rd_prediction

generates the prediction of a dimension reduction model.

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Oldemar Rodriguez

regressoR

Regression Data Analysis System

Diego Jimenez A.

rd_prediction function

<dl><dt>model</dt>
<dd>dimension reduction model(pcr/plsr).</dd>
<dt>test.data</dt>
<dd>dataframe.</dd>
<dt>ncomp</dt>
<dd>a numerical value in case you don't want to use the optimum number of components.</dd></dl>

Arguments

rd_prediction — rd_prediction

<dl>

<dt>model</dt>
<dd>dimension reduction model(pcr/plsr).</dd>


<dt>test.data</dt>
<dd>dataframe.</dd>


<dt>ncomp</dt>
<dd>a numerical value in case you don't want to use the optimum number of components.</dd>

</dl>

rd_prediction: rd_prediction

Description

Usage

Arguments