diff --git a/Math/Finance/Forecasting/ExponentialSmoothing/ExponentialSmoothing.php b/Math/Finance/Forecasting/ExponentialSmoothing/ExponentialSmoothing.php
deleted file mode 100644
index e44c60955..000000000
--- a/Math/Finance/Forecasting/ExponentialSmoothing/ExponentialSmoothing.php
+++ /dev/null
@@ -1,622 +0,0 @@
-<?php
-/**
- * Orange Management
- *
- * PHP Version 7.1
- *
- * @category   TBD
- * @package    TBD
- * @copyright  Dennis Eichhorn
- * @license    OMS License 1.0
- * @version    1.0.0
- * @link       http://orange-management.com
- */
-declare(strict_types=1);
-
-namespace phpOMS\Business\Finance\Forecasting\ExponentialSmoothing;
-
-use phpOMS\Business\Finance\Forecasting\SmoothingType;
-use phpOMS\Math\Statistic\Average;
-use phpOMS\Math\Statistic\Forecast\Error;
-
-class ExponentialSmoothing
-{
-    private $data = [];
-
-    private $errors = [];
-
-    private $rmse = 0.0;
-
-    private $mse = 0.0;
-
-    private $mae = 0.0;
-
-    private $sse = 0.0;
-
-    public function __construct(array $data)
-    {
-        $this->data  = $data;
-    }
-
-    public function getRMSE() : float
-    {
-        return $this->rmse;
-    }
-
-    public function getMSE() : float
-    {
-        return $this->mse;
-    }
-
-    public function getMAE() : float
-    {
-        return $this->mae;
-    }
-
-    public function getSSE() : float
-    {
-        return $this->sse;
-    }
-
-    public function getErrors() : array
-    {
-        return $this->errors;
-    }
-
-    public function getForecast(int $future, int $trendType = TrendType::NONE, int $seasonalType = SeasonalType::NONE, int $cycle = 12, float $damping = 1) : array 
-    {
-        $this->rmse = PHP_INT_MAX;
-
-        if($trendType === TrendType::ALL || $seasonalType === SeasonalType::ALL) {
-            $trends = [$trendType];
-            if($trendType === TrendType::ALL) {
-                $trends = [TrendType::NONE, TrendType::ADDITIVE, TrendType::MULTIPLICATIVE];
-            }
-
-            $seasonals = [$seasonalType];
-            if($seasonalType === SeasonalType::ALL) {
-                $seasonals = [SeasonalType::NONE, SeasonalType::ADDITIVE, SeasonalType::MULTIPLICATIVE];
-            }
-
-            $forecast = [];
-            $bestError = PHP_INT_MAX;
-            foreach($trends as $trend) {
-                foreach($seasonals as $seasonal) {
-                    $tempForecast = $this->getForecast($future, $trend, $seasonal, $cycle, $damping);
-
-                    if ($this->rmse < $bestError) {
-                        $bestError = $this->rmse;
-                        $forecast   = $tempForecast;
-                    }
-                }
-            }
-
-            return $forecast;
-        } elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::NONE) {
-            return $this->getNoneNone($future);
-        } elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::ADDITIVE) {
-            return $this->getNoneAdditive($future, $cycle);
-        } elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
-            return $this->getNoneMultiplicative($future, $cycle);
-        } elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::NONE) {
-            return $this->getAdditiveNone($future, $damping);
-        } elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::ADDITIVE) {
-            return $this->getAdditiveAdditive($future, $cycle, $damping);
-        } elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
-            return $this->getAdditiveMultiplicative($future, $cycle, $damping);
-        } elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::NONE) {
-            return $this->getMultiplicativeNone($future, $damping);
-        } elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::ADDITIVE) {
-            return $this->getMultiplicativeAdditive($future, $cycle, $damping);
-        } elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
-            return $this->getMultiplicativeMultiplicative($future, $cycle, $damping);
-        }
-
-        throw new \Exception();
-    }
-
-    private function dampingSum(float $damping, int $length) : float
-    {
-        if(abs($damping - 1) < 0.001) {
-            return $length;
-        }
-
-        $sum = 0;
-        for($i = 0; $i < $length; $i++) {
-            $sum += pow($damping, $i);
-        }
-
-        return $sum;
-    }
-
-    public function getNoneNone(int $future) : array 
-    {
-        $level = [$this->data[0]];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $error      = [];
-            $tempForecast = [];
-
-            for($i = 1; $i < $dataLength; $i++) {
-                $level[$i] = $alpha * ($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) + (1 - $alpha) * $level[$i-1];
-
-                $tempForecast[$i] = $level[$i];
-                $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-            }
-
-            $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-            if ($tempRMSE < $this->rmse) {
-                $this->rmse = $tempRMSE;
-                $forecast   = $tempForecast;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getNoneAdditive(int $future, int $cycle) : array 
-    {
-        $level = [$this->data[0]];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i-1] - $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $gamma = 0.00;
-
-            while($gamma < 1) {
-                $gamma_ = $gamma * (1 - $alpha);
-                $error      = [];
-                $tempForecast = [];
-
-                for($i = 1; $i < $dataLength; $i++) {
-                    $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                    $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $seasonal[$i]) + (1 - $alpha) * $level[$i-1];
-                    $seasonal[$i+$cycle] = $gamma_*(($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $level[$i-1]) + (1 - $gamma_) * $seasonal[$i];
-
-                    $tempForecast[$i] = $level[$i] + $seasonal[$i+$hm];
-                    $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                }
-                    
-                $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                if ($tempRMSE < $this->rmse) {
-                    $this->rmse = $tempRMSE;
-                    $forecast   = $tempForecast;
-                }
-       
-                $gamma += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getNoneMultiplicative(int $future, int $cycle) : array 
-    {
-        $level = [$this->data[0]];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i] / $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $gamma = 0.00;
-
-            while($gamma < 1) {
-                $gamma_ = $gamma * (1 - $alpha);
-                $error      = [];
-                $tempForecast = [];
-
-                for($i = 1; $i < $dataLength; $i++) {
-                    $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                    $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / $seasonal[$i]) + (1 - $alpha) * $level[$i-1];
-                    $seasonal[$i+$cycle] = $gamma_*(($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / $level[$i-1]) + (1 - $gamma_) * $seasonal[$i];
-
-                    $tempForecast[$i] = $level[$i] + $seasonal[$i+$hm];
-                    $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                }
-                    
-                $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                if ($tempRMSE < $this->rmse) {
-                    $this->rmse = $tempRMSE;
-                    $forecast   = $tempForecast;
-                }
-       
-                $gamma += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getAdditiveNone(int $future, float $damping) : array 
-    {
-        $level = [$this->data[0]];
-        $trend = [$this->data[1] - $this->data[0]];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $error      = [];
-                $tempForecast = [];
-
-                for($i = 1; $i < $dataLength; $i++) {
-                    $level[$i] = $alpha * ($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
-                    $trend[$i] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
-
-                    $tempForecast[$i] = $level[$i] + $this->dampingSum($damping, $i) * $trend[$i];
-                    $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                }
-                    
-                $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                if ($tempRMSE < $this->rmse) {
-                    $this->rmse = $tempRMSE;
-                    $forecast   = $tempForecast;
-                }
-       
-                $beta += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getAdditiveAdditive(int $future, int $cycle, float $damping) : array 
-    {
-        $level = [1 / $cycle * array_sum(array_slice($this->data, 0, $cycle))];
-        $trend = [1 / $cycle];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-
-        $sum = 0;
-        for($i = 1; $i < $cycle+1; $i++) {
-            $sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
-        }
-
-        $trend[0] *= $sum;
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i-1] - $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $gamma = 0.00;
-
-                while($gamma < 1) {
-                    $gamma_ = $gamma * (1 - $alpha);
-                    $error      = [];
-                    $tempForecast = [];
-
-                    for($i = 1; $i < $dataLength; $i++) {
-                        $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                        $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $seasonal[$i]) + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
-                        $trend[$i] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
-                        $seasonal[$i+$cycle] = $gamma_*(($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $level[$i-1]) + (1 - $gamma_) * $seasonal[$i];
-
-                        $tempForecast[$i] = $level[$i] + $this->dampingSum($damping, $i) * $trend[$i] + $seasonal[$i+$hm];
-                        $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                    }
-
-                    $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                    if ($tempRMSE < $this->rmse) {
-                        $this->rmse = $tempRMSE;
-                        $forecast   = $tempForecast;
-                    }
-
-                    $gamma += 0.01;
-                }
-
-                $beta += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getAdditiveMultiplicative(int $future, int $cycle, float $damping) : array 
-    {
-        $level = [1 / $cycle * array_sum(array_slice($this->data, 0, $cycle))];
-        $trend = [1 / $cycle];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-        $gamma_ = $gamma * (1 - $alpha);
-
-        $sum = 0;
-        for($i = 1; $i < $cycle+1; $i++) {
-            $sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
-        }
-
-        $trend[0] *= $sum;
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i] / $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $gamma = 0.00;
-
-                while($gamma < 1) {
-                    $gamma_ = $gamma * (1 - $alpha);
-                    $error      = [];
-                    $tempForecast = [];
-
-                    for($i = 1; $i < $dataLength; $i++) {
-                        $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                        $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / $seasonal[$i]) + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
-                        $trend[$i] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
-                        $seasonal[$i+$cycle] = $gamma_*($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / ($level[$i-1] + $damping * $trend[$i-1]) + (1 - $gamma_) * $seasonal[$i];
-
-                        $tempForecast[] = ($level[$i] + $this->dampingSum($damping, $i) * $trend[$i-1]) * $seasonal[$i+$hm];
-                        $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                    }
-                    
-                    $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                    if ($tempRMSE < $this->rmse) {
-                        $this->rmse = $tempRMSE;
-                        $forecast   = $tempForecast;
-                    }
-
-                    $gamma += 0.01;
-                }
-
-                $beta += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getMultiplicativeNone(int $future, float $damping) : array 
-    {
-        $level = [$this->data[0]];
-        $trend = [$this->data[1] / $this->data[0]];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $error      = [];
-                $tempForecast = [];
-
-                for($i = 1; $i < $dataLength; $i++) {
-                    $level[$i] = $alpha * ($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) + (1 - $alpha) * $level[$i-1] * pow($trend[$i-1], $damping);
-                    $trend[$i] = $beta * ($level[$i] / $level[$i-1]) + (1 - $beta) * pow($trend[$i-1], $damping);
-
-                    $tempForecast[$i] = $level[$i] * pow($trend[$i], $this->dampingSum($damping, $i));
-                    $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                }
-
-                $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                if ($tempRMSE < $this->rmse) {
-                    $this->rmse = $tempRMSE;
-                    $forecast   = $tempForecast;
-                }
-
-                $beta += 0.01;
-            }
-            $alpha += 0.01;
-        }
-            
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getMultiplicativeAdditive(int $future, int $cycle, float $damping) : array 
-    {
-        $level = [$this->data[0]];
-        $trend = [1 / $cycle];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-
-        $sum = 0;
-        for($i = 1; $i < $cycle+1; $i++) {
-            $sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
-        }
-
-        $trend[0] *= $sum;
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i-1] - $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $gamma = 0.00;
-
-                while($gamma < 1) {
-                    $gamma_ = $gamma * (1 - $alpha);
-                    $error      = [];
-                    $tempForecast = [];
-
-                    for($i = 1; $i < $dataLength; $i++) {
-                        $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                        $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $seasonal[$i]) + (1 - $alpha) * $level[$i-1] * pow($trend[$i-1], $damping);
-                        $trend[$i] = $beta * ($level[$i] / $level[$i-1]) + (1 - $beta) * pow($trend[$i-1], $damping);
-                        $seasonal[$i+$cycle] = $gamma_*(($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) - $level[$i-1] * pow($trend[$i-1], $damping)) + (1 - $gamma_) * $seasonal[$i];
-
-                        $tempForecast[$i] = $level[$i] * pow($trend[$i], $this->dampingSum($damping, $i)) + $seasonal[$i+$hm];
-                        $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                    }
-
-                    $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                    if ($tempRMSE < $this->rmse) {
-                        $this->rmse = $tempRMSE;
-                        $forecast   = $tempForecast;
-                    }
-
-                    $gamma += 0.01;
-                }
-
-                $beta += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-    public function getMultiplicativeMultiplicative(int $future, int $cycle, float $damping) : array 
-    {
-        $level = [$this->data[0]];
-        $trend = [1 / $cycle];
-        $dataLength = count($this->data) + $future;
-        $forecast = [];
-        $seasonal = [];
-
-        $sum = 0;
-        for($i = 1; $i < $cycle+1; $i++) {
-            $sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
-        }
-
-        $trend[0] *= $sum;
-
-        for($i = 1; $i < $cycle+1; $i++) {
-            $seasonal[$i] = $this->data[$i] / $level[0];
-        }
-
-        $alpha = 0.00;
-        while ($alpha < 1) {
-            $beta = 0.00;
-
-            while($beta < 1) {
-                $gamma = 0.00;
-
-                while($gamma < 1) {
-                    $gamma_ = $gamma * (1 - $alpha);
-                    $error      = [];
-                    $tempForecast = [];
-
-                    for($i = 1; $i < $dataLength; $i++) {
-                        $hm = (int) floor(($i-1) % $cycle) + 1;
-
-                        $level[$i] = $alpha * (($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / $seasonal[$i]) + (1 - $alpha) * $level[$i-1] * pow($trend[$i-1], $damping);
-                        $trend[$i] = $beta * ($level[$i] / $level[$i-1]) + (1 - $beta) * pow($trend[$i-1], $damping);
-                        $seasonal[$i+$cycle] = $gamma_*($i < $dataLength - $future ? $this->data[$i-1] : $tempForecast[$i-1]) / ($level[$i-1] * pow($trend[$i-1], $damping)) + (1 - $gamma_) * $seasonal[$i];
-
-                        $tempForecast[$i] = $level[$i] * pow($trend[$i], $this->dampingSum($damping, $i)) * $seasonal[$i+$hm];
-                        $error[]    = $i < $dataLength - $future ? $this->data[$i] - $tempForecast[$i] : 0;
-                    }
-                    
-                    $tempRMSE = Error::getRootMeanSquaredError($error);
-            
-                    if ($tempRMSE < $this->rmse) {
-                        $this->rmse = $tempRMSE;
-                        $forecast   = $tempForecast;
-                    }
-
-                    $gamma += 0.01;
-                }
-
-                $beta += 0.01;
-            }
-
-            $alpha += 0.01;
-        }
-
-        $this->errors = $error;
-        $this->mse    = Error::getMeanSquaredError($error);
-        $this->mae    = Error::getMeanAbsoulteError($error);
-        $this->sse    = Error::getSumSquaredError($error);
-
-        return $forecast;
-    }
-
-}
\ No newline at end of file