1 files changed, 0 insertions, 111 deletions
diff --git a/admin/survey/excel/PHPExcel/Shared/trend/linearBestFitClass.php b/admin/survey/excel/PHPExcel/Shared/trend/linearBestFitClass.php
deleted file mode 100644
index 0fe62b1..0000000
--- a/admin/survey/excel/PHPExcel/Shared/trend/linearBestFitClass.php
+++ /dev/null
@@ -1,111 +0,0 @@
-<?php
-/**
- * PHPExcel
- *
- * Copyright (c) 2006 - 2012 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 - 2012 PHPExcel (http://www.codeplex.com/PHPExcel)
- * @license    http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt	LGPL
- * @version    1.7.8, 2012-10-12
- */
-
-
-require_once(PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/bestFitClass.php');
-
-
-/**
- * PHPExcel_Linear_Best_Fit
- *
- * @category   PHPExcel
- * @package    PHPExcel_Shared_Trend
- * @copyright  Copyright (c) 2006 - 2012 PHPExcel (http://www.codeplex.com/PHPExcel)
- */
-class PHPExcel_Linear_Best_Fit extends PHPExcel_Best_Fit
-{
-	/**
-	 * Algorithm type to use for best-fit
-	 * (Name of this trend class)
-	 *
-	 * @var	string
-	 **/
-	protected $_bestFitType		= 'linear';
-
-
-	/**
-	 * Return the Y-Value for a specified value of X
-	 *
-	 * @param	 float		$xValue			X-Value
-	 * @return	 float						Y-Value
-	 **/
-	public function getValueOfYForX($xValue) {
-		return $this->getIntersect() + $this->getSlope() * $xValue;
-	}	//	function getValueOfYForX()
-
-
-	/**
-	 * Return the X-Value for a specified value of Y
-	 *
-	 * @param	 float		$yValue			Y-Value
-	 * @return	 float						X-Value
-	 **/
-	public function getValueOfXForY($yValue) {
-		return ($yValue - $this->getIntersect()) / $this->getSlope();
-	}	//	function getValueOfXForY()
-
-
-	/**
-	 * Return the Equation of the best-fit line
-	 *
-	 * @param	 int		$dp		Number of places of decimal precision to display
-	 * @return	 string
-	 **/
-	public function getEquation($dp=0) {
-		$slope = $this->getSlope($dp);
-		$intersect = $this->getIntersect($dp);
-
-		return 'Y = '.$intersect.' + '.$slope.' * X';
-	}	//	function getEquation()
-
-
-	/**
-	 * Execute the regression and calculate the goodness of fit for a set of X and Y data values
-	 *
-	 * @param	 float[]	$yValues	The set of Y-values for this regression
-	 * @param	 float[]	$xValues	The set of X-values for this regression
-	 * @param	 boolean	$const
-	 */
-	private function _linear_regression($yValues, $xValues, $const) {
-		$this->_leastSquareFit($yValues, $xValues,$const);
-	}	//	function _linear_regression()
-
-
-	/**
-	 * Define the regression and calculate the goodness of fit for a set of X and Y data values
-	 *
-	 * @param	float[]		$yValues	The set of Y-values for this regression
-	 * @param	float[]		$xValues	The set of X-values for this regression
-	 * @param	boolean		$const
-	 */
-	function __construct($yValues, $xValues=array(), $const=True) {
-		if (parent::__construct($yValues, $xValues) !== False) {
-			$this->_linear_regression($yValues, $xValues, $const);
-		}
-	}	//	function __construct()
-
-}	//	class linearBestFit
-\ No newline at end of file