/* $RCSfile$
* $Author$
* $Date$
* $Revision$
*
* Copyright (C) 2004-2008 Rajarshi Guha <rajarshi.guha@gmail.com>
*
* Contact: cdk-devel@lists.sourceforge.net
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation; either version 2.1
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*/
package org.openscience.cdk.qsar.model.R;
/**
* A class that wraps the return value from R function, lm..
*
* This is an internal class used by R to return the result of
* the call to <a href="http://stat.ethz.ch/R-manual/R-patched/library/stats/html/lm.html">lm</a>.
* As a result it should not be instantiated by the user. The actual modeling
* class, <code>LinearRegressionModel</code>, provides acess to the various
* fields of this object.
*
*
* @author Rajarshi Guha
* @cdk.require r-project
* @cdk.module qsar
* @cdk.githash
* @deprecated
*/
public class LinearRegressionModelFit {
double[] coeff, res, fitted;
int rank, dfResidual;
/**
* Construct the object to contain a linear regression fit.
*
* @param coeff A 1-dimensional array of coefficients
* @param res A 1-dimensional array of residuals
* @param fitted A 1-dimensional array of fitted values
* @param rank An integer indicating the rank of the fit
* @param degreesOfFreedom The degrees of freedom
*/
public LinearRegressionModelFit(double[] coeff, double[] res, double[] fitted, int rank, int degreesOfFreedom) {
setCoefficients(coeff);
setResiduals(res);
setFitted(fitted);
setRank(rank);
setdfResidual(degreesOfFreedom);
}
/**
* Get the rank of the fit.
*
* @return The rank of the fit
* @see #setRank
*/
public int getRank() { return(this.rank); }
/**
* Set the rank of the fit.
*
* This method should not be called outside this class
*
* @param rank The rank of the fit
* @see #getRank
*/
public void setRank(int rank) { this.rank = rank; };
/**
* Get the residuals of the fit.
*
* The number of residuals equals the number of observations used
* to build the model
*
* @return A 1-dimensional array containing the residuals.
* @see #setResiduals
*/
public double[] getResiduals() { return(this.res); }
/**
* Set the residuals of the fit.
*
* This method should not be called outside this class
*
* @param residuals A 1-dimensional array of residual values
* @see #getResiduals
*/
public void setResiduals(double[] residuals) {
this.res = new double[residuals.length];
for (int i = 0; i < residuals.length; i++) this.res[i] = residuals[i];
}
/**
* Get the fitted coefficients.
*
* The number of coefficients equals the number of independent
* variables used to build the model
*
* @return A 1-dimensional array containing the coefficients.
* @see #setCoefficients
*/
public double[] getCoefficients() { return(this.coeff); }
/**
* Set the fitted coefficients.
*
*
* This method should not be called outside this class
*
* @param coeff A 1-dimensional array containing the coefficients.
* @see #getCoefficients
*/
public void setCoefficients(double[] coeff) {
this.coeff = new double[coeff.length];
for (int i = 0; i < coeff.length; i++) this.coeff[i] = coeff[i];
}
/**
* Get the DOF of the residuals.
*
* @return An integer indicating the D.O.F
* @see #setdfResidual
*/
public int getdfResidual() { return(this.dfResidual); }
/**
* Set the DOF of the residuals.
*
* This method should not be called outside this class
*
* @param degreesOfFreedom The degrees of freedom
* @see #getdfResidual
*/
public void setdfResidual(int degreesOfFreedom) { this.dfResidual = degreesOfFreedom; }
/**
* Get the fitted values.
*
* Returns the predicted values for the observations used to
* build the model. The number of fitted values equals the number
* observations used to build the model.
*
* @return A 1-dimensional array containing the fitted values
* @see #setFitted
*/
public double[] getFitted() { return(this.fitted); }
/**
* Set the fitted values.
*
* This method should not be called outside this class
*
* @param fitted A 1-dimensional array of fitted values
* @see #getFitted
*/
public void setFitted(double[] fitted) {
this.fitted = new double[fitted.length];
for (int i = 0; i < fitted.length; i++) this.fitted[i] = fitted[i];
}
}