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							- <?php
 
- /**
 
-  * PHPExcel
 
-  *
 
-  * Copyright (c) 2006 - 2014 PHPExcel
 
-  *
 
-  * This library is free software; you can redistribute it and/or
 
-  * modify it under the terms of the GNU Lesser General Public
 
-  * License as published by the Free Software Foundation; either
 
-  * version 2.1 of the License, or (at your option) any later version.
 
-  *
 
-  * This library is distributed in the hope that it will be useful,
 
-  * but WITHOUT ANY WARRANTY; without even the implied warranty of
 
-  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 
-  * Lesser General Public License for more details.
 
-  *
 
-  * You should have received a copy of the GNU Lesser General Public
 
-  * License along with this library; if not, write to the Free Software
 
-  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 
-  *
 
-  * @category   PHPExcel
 
-  * @package    PHPExcel_Shared_Trend
 
-  * @copyright  Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel)
 
-  * @license    http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt	LGPL
 
-  * @version    1.8.0, 2014-03-02
 
-  */
 
- require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
 
- require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
 
- require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
 
- require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
 
- require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';
 
- /**
 
-  * PHPExcel_trendClass
 
-  *
 
-  * @category   PHPExcel
 
-  * @package    PHPExcel_Shared_Trend
 
-  * @copyright  Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel)
 
-  */
 
- class trendClass
 
- {
 
- 	const TREND_LINEAR				= 'Linear';
 
- 	const TREND_LOGARITHMIC			= 'Logarithmic';
 
- 	const TREND_EXPONENTIAL			= 'Exponential';
 
- 	const TREND_POWER				= 'Power';
 
- 	const TREND_POLYNOMIAL_2		= 'Polynomial_2';
 
- 	const TREND_POLYNOMIAL_3		= 'Polynomial_3';
 
- 	const TREND_POLYNOMIAL_4		= 'Polynomial_4';
 
- 	const TREND_POLYNOMIAL_5		= 'Polynomial_5';
 
- 	const TREND_POLYNOMIAL_6		= 'Polynomial_6';
 
- 	const TREND_BEST_FIT			= 'Bestfit';
 
- 	const TREND_BEST_FIT_NO_POLY	= 'Bestfit_no_Polynomials';
 
- 	/**
 
- 	 * Names of the best-fit trend analysis methods
 
- 	 *
 
- 	 * @var string[]
 
- 	 **/
 
- 	private static $_trendTypes = array( self::TREND_LINEAR,
 
- 										 self::TREND_LOGARITHMIC,
 
- 										 self::TREND_EXPONENTIAL,
 
- 										 self::TREND_POWER
 
- 									   );
 
- 	/**
 
- 	 * Names of the best-fit trend polynomial orders
 
- 	 *
 
- 	 * @var string[]
 
- 	 **/
 
- 	private static $_trendTypePolyOrders = array( self::TREND_POLYNOMIAL_2,
 
- 												  self::TREND_POLYNOMIAL_3,
 
- 												  self::TREND_POLYNOMIAL_4,
 
- 												  self::TREND_POLYNOMIAL_5,
 
- 												  self::TREND_POLYNOMIAL_6
 
- 											    );
 
- 	/**
 
- 	 * Cached results for each method when trying to identify which provides the best fit
 
- 	 *
 
- 	 * @var PHPExcel_Best_Fit[]
 
- 	 **/
 
- 	private static $_trendCache = array();
 
- 	public static function calculate($trendType=self::TREND_BEST_FIT, $yValues, $xValues=array(), $const=True) {
 
- 		//	Calculate number of points in each dataset
 
- 		$nY = count($yValues);
 
- 		$nX = count($xValues);
 
- 		//	Define X Values if necessary
 
- 		if ($nX == 0) {
 
- 			$xValues = range(1,$nY);
 
- 			$nX = $nY;
 
- 		} elseif ($nY != $nX) {
 
- 			//	Ensure both arrays of points are the same size
 
- 			trigger_error("trend(): Number of elements in coordinate arrays do not match.", E_USER_ERROR);
 
- 		}
 
- 		$key = md5($trendType.$const.serialize($yValues).serialize($xValues));
 
- 		//	Determine which trend method has been requested
 
- 		switch ($trendType) {
 
- 			//	Instantiate and return the class for the requested trend method
 
- 			case self::TREND_LINEAR :
 
- 			case self::TREND_LOGARITHMIC :
 
- 			case self::TREND_EXPONENTIAL :
 
- 			case self::TREND_POWER :
 
- 				if (!isset(self::$_trendCache[$key])) {
 
- 					$className = 'PHPExcel_'.$trendType.'_Best_Fit';
 
- 					self::$_trendCache[$key] = new $className($yValues,$xValues,$const);
 
- 				}
 
- 				return self::$_trendCache[$key];
 
- 				break;
 
- 			case self::TREND_POLYNOMIAL_2	:
 
- 			case self::TREND_POLYNOMIAL_3	:
 
- 			case self::TREND_POLYNOMIAL_4	:
 
- 			case self::TREND_POLYNOMIAL_5	:
 
- 			case self::TREND_POLYNOMIAL_6	:
 
- 				if (!isset(self::$_trendCache[$key])) {
 
- 					$order = substr($trendType,-1);
 
- 					self::$_trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const);
 
- 				}
 
- 				return self::$_trendCache[$key];
 
- 				break;
 
- 			case self::TREND_BEST_FIT			:
 
- 			case self::TREND_BEST_FIT_NO_POLY	:
 
- 				//	If the request is to determine the best fit regression, then we test each trend line in turn
 
- 				//	Start by generating an instance of each available trend method
 
- 				foreach(self::$_trendTypes as $trendMethod) {
 
- 					$className = 'PHPExcel_'.$trendMethod.'BestFit';
 
- 					$bestFit[$trendMethod] = new $className($yValues,$xValues,$const);
 
- 					$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
 
- 				}
 
- 				if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
 
- 					foreach(self::$_trendTypePolyOrders as $trendMethod) {
 
- 						$order = substr($trendMethod,-1);
 
- 						$bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order,$yValues,$xValues,$const);
 
- 						if ($bestFit[$trendMethod]->getError()) {
 
- 							unset($bestFit[$trendMethod]);
 
- 						} else {
 
- 							$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
 
- 						}
 
- 					}
 
- 				}
 
- 				//	Determine which of our trend lines is the best fit, and then we return the instance of that trend class
 
- 				arsort($bestFitValue);
 
- 				$bestFitType = key($bestFitValue);
 
- 				return $bestFit[$bestFitType];
 
- 				break;
 
- 			default	:
 
- 				return false;
 
- 		}
 
- 	}	//	function calculate()
 
- }	//	class trendClass
 
 
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