@Test(expected = Test.None.class) public void testLongley() throws Exception { System.out.println("longley"); LinearModel model = OLS.fit(Longley.formula, Longley.data); System.out.println(model); assertEquals(12.8440, model.RSS(), 1E-4); assertEquals(1.1946, model.error(), 1E-4); assertEquals(9, model.df()); assertEquals(0.9926, model.RSquared(), 1E-4); assertEquals(0.9877, model.adjustedRSquared(), 1E-4); assertEquals(202.5094, model.ftest(), 1E-4); assertEquals(4.42579E-9, model.pvalue(), 1E-14); double[][] ttest = { {2946.85636, 5647.97658, 0.522, 0.6144}, { 0.26353, 0.10815, 2.437, 0.0376}, { 0.03648, 0.03024, 1.206, 0.2585}, { 0.01116, 0.01545, 0.722, 0.4885}, { -1.73703, 0.67382, -2.578, 0.0298}, { -1.41880, 2.94460, -0.482, 0.6414}, { 0.23129, 1.30394, 0.177, 0.8631} }; double[] residuals = { -0.6008156, 1.5502732, 0.1032287, -1.2306486, -0.3355139, 0.2693345, 0.8776759, 0.1222429, -2.0086121, -0.4859826, 1.0663129, 1.2274906, -0.3835821, 0.2710215, 0.1978569, -0.6402823 }; for (int i = 0; i < ttest.length; i++) { for (int j = 0; j < 4; j++) { assertEquals(ttest[i][j], model.ttest()[i][j], 1E-3); } } for (int i = 0; i < residuals.length; i++) { assertEquals(residuals[i], model.residuals()[i], 1E-4); } java.nio.file.Path temp = smile.data.Serialize.write(model); smile.data.Serialize.read(temp); }
public static LinearModel fit(Formula formula, DataFrame data) { return fit(formula, data, new Properties()); }
OLS { public static LinearModel fit(Formula formula, DataFrame data) { return fit(formula, data, new Properties()); } }
OLS { public static LinearModel fit(Formula formula, DataFrame data) { return fit(formula, data, new Properties()); }  }
OLS { public static LinearModel fit(Formula formula, DataFrame data) { return fit(formula, data, new Properties()); }  static LinearModel fit(Formula formula, DataFrame data); static LinearModel fit(Formula formula, DataFrame data, Properties prop); static LinearModel fit(Formula formula, DataFrame data, String method, boolean stderr, boolean recursive); }
OLS { public static LinearModel fit(Formula formula, DataFrame data) { return fit(formula, data, new Properties()); }  static LinearModel fit(Formula formula, DataFrame data); static LinearModel fit(Formula formula, DataFrame data, Properties prop); static LinearModel fit(Formula formula, DataFrame data, String method, boolean stderr, boolean recursive);  }