Class PHPExcel_Polynomial_Best_Fit

PHPExcel_Polynomial_Best_Fit

PHPExcel_Polynomial_Best_Fit

Package: PHPExcel\Shared\Trend
Category: PHPExcel
Copyright: Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel)
License: LGPL
Located at controlador/include/phpexcel/PHPExcel/Shared/trend/polynomialBestFitClass.php

Methods summary
`public integer`	# `getOrder( )` Return the order of this polynomial Return the order of this polynomial Returns integer
`public float`	# `getValueOfYForX( float $xValue )` Return the Y-Value for a specified value of X Return the Y-Value for a specified value of X Parameters `$xValue` X-Value Returns float Y-Value Overrides `PHPExcel_Best_Fit::getValueOfYForX()`
`public float`	# `getValueOfXForY( float $yValue )` Return the X-Value for a specified value of Y Return the X-Value for a specified value of Y Parameters `$yValue` Y-Value Returns float X-Value Overrides `PHPExcel_Best_Fit::getValueOfXForY()`
`public string`	# `getEquation( integer $dp = 0 )` Return the Equation of the best-fit line Return the Equation of the best-fit line Parameters `$dp` Number of places of decimal precision to display Returns string Overrides `PHPExcel_Best_Fit::getEquation()`
`public string`	# `getSlope( integer $dp = 0 )` Return the Slope of the line Return the Slope of the line Parameters `$dp` Number of places of decimal precision to display Returns string Overrides `PHPExcel_Best_Fit::getSlope()`
`public`	# `getCoefficients( $dp = 0 )`
`private`	# `_polynomial_regression( integer $order, float[] $yValues, float[] $xValues, boolean $const )` Execute the regression and calculate the goodness of fit for a set of X and Y data values Execute the regression and calculate the goodness of fit for a set of X and Y data values Parameters `$order` Order of Polynomial for this regression `$yValues` The set of Y-values for this regression `$xValues` The set of X-values for this regression `$const`
`public`	# `__construct( integer $order, float[] $yValues, float[] $xValues = array(), boolean $const = True )` Define the regression and calculate the goodness of fit for a set of X and Y data values Define the regression and calculate the goodness of fit for a set of X and Y data values Parameters `$order` Order of Polynomial for this regression `$yValues` The set of Y-values for this regression `$xValues` The set of X-values for this regression `$const` Overrides `PHPExcel_Best_Fit::__construct()`

Methods inherited from PHPExcel_Best_Fit
`_calculateGoodnessOfFit(), _leastSquareFit(), getBestFitType(), getCorrelation(), getCovariance(), getDFResiduals(), getError(), getF(), getGoodnessOfFit(), getGoodnessOfFitPercent(), getIntersect(), getIntersectSE(), getSSRegression(), getSSResiduals(), getSlopeSE(), getStdevOfResiduals(), getXValues(), getYBestFitValues()`

Properties summary
`protected string`	`$_bestFitType` Algorithm type to use for best-fit (Name of this trend class) Algorithm type to use for best-fit (Name of this trend class)	# `'polynomial'`
`protected integer`	`$_order` Polynomial order Polynomial order Protected	# `0`

Properties inherited from PHPExcel_Best_Fit
`$_DFResiduals, $_F, $_SSRegression, $_SSResiduals, $_Xoffset, $_Yoffset, $_adjustToZero, $_correlation, $_covariance, $_error, $_goodnessOfFit, $_intersect, $_intersectSE, $_slope, $_slopeSE, $_stdevOfResiduals, $_valueCount, $_xValues, $_yBestFitValues, $_yValues`

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Class PHPExcel_Polynomial_Best_Fit

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