001    /*
002     * Licensed to the Apache Software Foundation (ASF) under one or more
003     * contributor license agreements.  See the NOTICE file distributed with
004     * this work for additional information regarding copyright ownership.
005     * The ASF licenses this file to You under the Apache License, Version 2.0
006     * (the "License"); you may not use this file except in compliance with
007     * the License.  You may obtain a copy of the License at
008     *
009     *      http://www.apache.org/licenses/LICENSE-2.0
010     *
011     * Unless required by applicable law or agreed to in writing, software
012     * distributed under the License is distributed on an "AS IS" BASIS,
013     * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014     * See the License for the specific language governing permissions and
015     * limitations under the License.
016     */
017    package org.apache.commons.math.stat.regression;
018    
019    import static org.junit.Assert.assertEquals;
020    import static org.junit.Assert.assertTrue;
021    
022    import org.junit.Before;
023    import org.junit.Test;
024    
025    
026    public abstract class MultipleLinearRegressionAbstractTest {
027    
028        protected MultipleLinearRegression regression;
029    
030        @Before
031        public void setUp(){
032            regression = createRegression();
033        }
034    
035        protected abstract MultipleLinearRegression createRegression();
036        
037        protected abstract int getNumberOfRegressors();
038        
039        protected abstract int getSampleSize();
040    
041        @Test
042        public void canEstimateRegressionParameters(){
043            double[] beta = regression.estimateRegressionParameters();        
044            assertEquals(getNumberOfRegressors(), beta.length);
045        }
046    
047        @Test
048        public void canEstimateResiduals(){
049            double[] e = regression.estimateResiduals();
050            assertEquals(getSampleSize(), e.length);
051        }
052        
053        @Test
054        public void canEstimateRegressionParametersVariance(){
055            double[][] variance = regression.estimateRegressionParametersVariance();
056            assertEquals(getNumberOfRegressors(), variance.length);
057        }
058    
059        @Test
060        public void canEstimateRegressandVariance(){
061            if (getSampleSize() > getNumberOfRegressors()) {
062                double variance = regression.estimateRegressandVariance();
063                assertTrue(variance > 0.0);
064            }
065        }   
066    
067    }