@@ -0,0 +1,1685 @@
+package com.netsteadfast.greenstep.test;%0A%0Aimport java.util.Arrays;%0A%0Aimport org.espy.arima.ArimaForecaster;%0Aimport org.espy.arima.DefaultArimaForecaster;%0Aimport org.espy.arima.DefaultArimaProcess;%0Aimport org.junit.Test;%0A%0A// https://github.com/igor-loban/espy-arima/blob/master/arima/src/test/java/org/espy/arima/DefaultArimaForecasterTest.java%0Apublic class DefaultArimaForecasterTest %7B%0A%09%0A    @Test%0A    public void test() %7B%0A        DefaultArimaProcess arimaProcess = new DefaultArimaProcess();%0A        arimaProcess.setMaCoefficients(0.7, -0.3, 0.1);%0A        arimaProcess.setIntegrationOrder(1);%0A%0A        double%5B%5D observations =%0A                new double%5B%5D%7B -0.262502, -1.18863, -0.874338, 0.587444, 1.37453, 1.8149, 1.87319, 1.32972, 2.13976,%0A                              4.93046, 5.24314, 3.38584, 3.1152, 2.84794, 1.04411, 1.5423, 1.85116, 0.968863, -0.173814,%0A                              -3.43235 %7D;%0A%0A        ArimaForecaster arimaForecaster = new DefaultArimaForecaster(arimaProcess, observations);%0A        double%5B%5D forecast = arimaForecaster.next(5);%0A%0A        System.out.println(%22Forecast: %22 + Arrays.toString(forecast));%0A    %7D%0A    %0A    @Test%0A    public void test2() %7B%0A        DefaultArimaProcess arimaProcess = new DefaultArimaProcess();%0A        arimaProcess.setMaCoefficients(0.05, 0.3, -0.25);%0A        arimaProcess.setIntegrationOrder(1);%0A        %0A        double%5B%5D observations = new double%5B%5D%7B 56.7, 63.5, 71.5, 65.1 %7D;%0A        %0A        ArimaForecaster arimaForecaster = new DefaultArimaForecaster(arimaProcess, observations);%0A        double%5B%5D forecast = arimaForecaster.next(5);%0A        %0A        System.out.println(%22Forecast: %22 + Arrays.toString(forecast));%0A    %7D    %0A    %0A%7D%0A

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