$_error
$_error : bool
Indicator flag for a calculation error
PHPExcel_Power_Best_Fit
$_error : bool
Indicator flag for a calculation error
$_bestFitType : string
Algorithm type to use for best-fit (Name of this trend class)
$_valueCount : int
Number of entries in the sets of x- and y-value arrays
$_xValues : float[]
X-value dataseries of values
$_yValues : float[]
Y-value dataseries of values
$_adjustToZero : bool
Flag indicating whether values should be adjusted to Y=0
$_yBestFitValues : float[]
Y-value series of best-fit values
__construct(float[] $yValues, float[] $xValues = array(), bool $const = True) : mixed
Define the regression and calculate the goodness of fit for a set of X and Y data values
float[] | $yValues | The set of Y-values for this regression |
float[] | $xValues | The set of X-values for this regression |
bool | $const |
_power_regression(float[] $yValues, float[] $xValues, bool $const) : mixed
Execute the regression and calculate the goodness of fit for a set of X and Y data values
float[] | $yValues | The set of Y-values for this regression |
float[] | $xValues | The set of X-values for this regression |
bool | $const |