/*
 *  ====================================================================
 *    Licensed to the Apache Software Foundation (ASF) under one or more
 *    contributor license agreements.  See the NOTICE file distributed with
 *    this work for additional information regarding copyright ownership.
 *    The ASF licenses this file to You 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.
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 */

package org.apache.poi.ss.formula.functions;

import org.apache.poi.ss.formula.eval.ValueEval;
import org.apache.poi.ss.formula.functions.LinearRegressionFunction.FUNCTION;

/**
 * Implementation of Excel function INTERCEPT()<p>
 *
 * Calculates the INTERCEPT of the linear regression line that is used to predict y values from x values<br>
 * (http://introcs.cs.princeton.edu/java/97data/LinearRegression.java.html)
 * <b>Syntax</b>:<br>
 * <b>INTERCEPT</b>(<b>arrayX</b>, <b>arrayY</b>)<p>
 *
 *
 * @author Johan Karlsteen
 */
public final class Intercept extends Fixed2ArgFunction {

	private final LinearRegressionFunction func;
	public Intercept() {
		func = new LinearRegressionFunction(FUNCTION.INTERCEPT);
	}
	
	public ValueEval evaluate(int srcRowIndex, int srcColumnIndex,
			ValueEval arg0, ValueEval arg1) {
		return func.evaluate(srcRowIndex, srcColumnIndex, arg0, arg1);
	}
}