1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.math.stat.regression;
18  
19  import static org.junit.Assert.assertEquals;
20  import static org.junit.Assert.assertTrue;
21  
22  import org.junit.Before;
23  import org.junit.Test;
24  
25  
26  public abstract class MultipleLinearRegressionAbstractTest {
27  
28      protected MultipleLinearRegression regression;
29  
30      @Before
31      public void setUp(){
32          regression = createRegression();
33      }
34  
35      protected abstract MultipleLinearRegression createRegression();
36      
37      protected abstract int getNumberOfRegressors();
38      
39      protected abstract int getSampleSize();
40  
41      @Test
42      public void canEstimateRegressionParameters(){
43          double[] beta = regression.estimateRegressionParameters();        
44          assertEquals(getNumberOfRegressors(), beta.length);
45      }
46  
47      @Test
48      public void canEstimateResiduals(){
49          double[] e = regression.estimateResiduals();
50          assertEquals(getSampleSize(), e.length);
51      }
52      
53      @Test
54      public void canEstimateRegressionParametersVariance(){
55          double[][] variance = regression.estimateRegressionParametersVariance();
56          assertEquals(getNumberOfRegressors(), variance.length);
57      }
58  
59      @Test
60      public void canEstimateRegressandVariance(){
61          if (getSampleSize() > getNumberOfRegressors()) {
62              double variance = regression.estimateRegressandVariance();
63              assertTrue(variance > 0.0);
64          }
65      }   
66  
67  }