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 }