rl_model

data

the name of the variable to be predicted.

variable.pred

generates a linear regression 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

Oldemar Rodriguez R.

Andres Navarro D.

Diego Jimenez A.

Ariel Arroyo S.

rl_model function

<dl><dt>data</dt>
<dd>dataframe</dd>
<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd></dl>

Arguments

rl_model — rl_model

<dl>

<dt>data</dt>
<dd>dataframe</dd>


<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>

</dl>

rl_model: rl_model

Description

Usage

Arguments

See Also