/******************************************************************************* * Copyright (c) 2010 Haifeng Li * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *******************************************************************************/ /** * Regression analysis. In statistics, regression analysis includes any * techniques for modeling and analyzing several variables, when the focus * is on the relationship between a dependent variable and one or more * independent variables. Most commonly, regression analysis estimates the * conditional expectation of the dependent variable given the independent * variables. Therefore, the estimation target is a function of the independent * variables called the regression function. Regression analysis is widely * used for prediction and forecasting, where its use has substantial overlap * with the field of machine learning. * * @author Haifeng Li */ package smile.regression;