Fix a few docblocks
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@ -1611,14 +1611,10 @@ class Statistical
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*
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* Returns values along a predicted emponential Trend
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param array of mixed Values of X for which we want to find Y
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* @param bool a logical value specifying whether to force the intersect to equal 0
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed $newValues
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* @param mixed $const
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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* @param mixed[] $newValues Values of X for which we want to find Y
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* @param bool $const a logical value specifying whether to force the intersect to equal 0
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*
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* @return array of float
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*/
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@ -1735,10 +1731,8 @@ class Statistical
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*
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* Calculates the point at which a line will intersect the y-axis by using existing x-values and y-values.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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*
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* @return float
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*/
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@ -1853,14 +1847,10 @@ class Statistical
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* Calculates the statistics for a line by using the "least squares" method to calculate a straight line that best fits your data,
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* and then returns an array that describes the line.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param bool a logical value specifying whether to force the intersect to equal 0
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* @param bool a logical value specifying whether to return additional regression statistics
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* @param mixed $yValues
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* @param null|mixed $xValues
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* @param mixed $const
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* @param mixed $stats
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* @param mixed[] $yValues Data Series Y
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* @param null|mixed[] $xValues Data Series X
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* @param bool $const a logical value specifying whether to force the intersect to equal 0
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* @param bool $stats a logical value specifying whether to return additional regression statistics
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*
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* @return array
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*/
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@ -1916,14 +1906,10 @@ class Statistical
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* Calculates an exponential curve that best fits the X and Y data series,
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* and then returns an array that describes the line.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param bool a logical value specifying whether to force the intersect to equal 0
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* @param bool a logical value specifying whether to return additional regression statistics
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* @param mixed $yValues
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* @param null|mixed $xValues
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* @param mixed $const
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* @param mixed $stats
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* @param mixed[] $yValues Data Series Y
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* @param null|mixed[] $xValues Data Series X
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* @param bool $const a logical value specifying whether to force the intersect to equal 0
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* @param bool $stats a logical value specifying whether to return additional regression statistics
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*
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* @return array
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*/
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@ -2592,12 +2578,9 @@ class Statistical
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*
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* Returns the rank of a value in a data set as a percentage of the data set.
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*
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* @param array of number An array of, or a reference to, a list of numbers
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* @param number the number whose rank you want to find
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* @param number the number of significant digits for the returned percentage value
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* @param mixed $valueSet
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* @param mixed $value
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* @param mixed $significance
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* @param float[] $valueSet An array of, or a reference to, a list of numbers
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* @param int $value the number whose rank you want to find
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* @param int $significance the number of significant digits for the returned percentage value
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*
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* @return float
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*/
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@ -2747,12 +2730,9 @@ class Statistical
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*
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* Returns the rank of a number in a list of numbers.
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*
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* @param number the number whose rank you want to find
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* @param array of number An array of, or a reference to, a list of numbers
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* @param mixed Order to sort the values in the value set
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* @param mixed $value
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* @param mixed $valueSet
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* @param mixed $order
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* @param int $value the number whose rank you want to find
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* @param float[] $valueSet An array of, or a reference to, a list of numbers
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* @param int $order Order to sort the values in the value set
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*
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* @return float
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*/
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@ -2786,10 +2766,8 @@ class Statistical
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*
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* Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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*
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* @return float
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*/
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@ -2856,10 +2834,8 @@ class Statistical
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*
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* Returns the slope of the linear regression line through data points in known_y's and known_x's.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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*
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* @return float
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*/
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@ -3160,10 +3136,8 @@ class Statistical
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*
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* Returns the standard error of the predicted y-value for each x in the regression.
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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*
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* @return float
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*/
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@ -3314,14 +3288,10 @@ class Statistical
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*
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* Returns values along a linear Trend
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*
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* @param array of mixed Data Series Y
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* @param array of mixed Data Series X
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* @param array of mixed Values of X for which we want to find Y
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* @param bool a logical value specifying whether to force the intersect to equal 0
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* @param mixed $yValues
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* @param mixed $xValues
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* @param mixed $newValues
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* @param mixed $const
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* @param mixed[] $yValues Data Series Y
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* @param mixed[] $xValues Data Series X
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* @param mixed[] $newValues Values of X for which we want to find Y
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* @param bool $const a logical value specifying whether to force the intersect to equal 0
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*
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* @return array of float
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*/
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@ -612,9 +612,9 @@ class Html extends BaseReader
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* - Implement to other propertie, such as border
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*
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* @param Worksheet $sheet
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* @param array $attributeArray
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* @param int $row
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* @param string $column
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* @param array $attributeArray
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*/
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private function applyInlineStyle(&$sheet, $row, $column, $attributeArray)
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{
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