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/*******************************************************************************
 * 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;