///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below.       //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,       //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard        //
// Scheines, Joseph Ramsey, and Clark Glymour.                               //
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// This program is free software; you can redistribute it and/or modify      //
// it under the terms of the GNU General Public License as published by      //
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package edu.cmu.tetrad.regression;

import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.graph.Node;

import java.util.List;

/**
 * Implements a multiple regression model, allowing data to be specified
 * either as a tabular data set or as a covariance matrix plus list of means.
 *
 * @author josephramsey
 */
public interface Regression {

    /**
     * Sets the significance level at which coefficients are judged to be
     * significant.
     *
     * @param alpha the significance level.
     */
    void setAlpha(double alpha);

    /**
     * @return This graph.
     */
    Graph getGraph();

    /**
     * Regresses <code>target</code> on the <code>regressors</code>, yielding
     * a regression plane.
     *
     * @param target     the target variable, being regressed.
     * @param regressors the list of variables being regressed on.
     * @return the regression plane.
     */
    RegressionResult regress(Node target, List<Node> regressors);

    /**
     * Regresses <code>target</code> on the <code>regressors</code>, yielding
     * a regression plane.
     *
     * @param target     the target variable, being regressed.
     * @param regressors the list of variables being regressed on.
     * @return the regression plane.
     */
    RegressionResult regress(Node target, Node... regressors);
}



