Fixed errors in multiple regression code samples. JIRA: MATH-1316. Th…

…anks to Sanghack Lee.

src/site/xdoc/userguide/stat.xml

@@ -562,14 +562,14 @@ System.out.println(regression.getInterceptStdErr() );
           <source>
 OLSMultipleLinearRegression regression = new OLSMultipleLinearRegression();
 double[] y = new double[]{11.0, 12.0, 13.0, 14.0, 15.0, 16.0};
-double[] x = new double[6][];
+double[][] x = new double[6][];
 x[0] = new double[]{0, 0, 0, 0, 0};
 x[1] = new double[]{2.0, 0, 0, 0, 0};
 x[2] = new double[]{0, 3.0, 0, 0, 0};
 x[3] = new double[]{0, 0, 4.0, 0, 0};
 x[4] = new double[]{0, 0, 0, 5.0, 0};
 x[5] = new double[]{0, 0, 0, 0, 6.0};          
-regression.newSample(y, x);
+regression.newSampleData(y, x);
           </source>
           </dd>
           <dd>Get regression parameters and diagnostics:
@@ -593,7 +593,7 @@ double sigma = regression.estimateRegressionStandardError();
           <source>
 GLSMultipleLinearRegression regression = new GLSMultipleLinearRegression();
 double[] y = new double[]{11.0, 12.0, 13.0, 14.0, 15.0, 16.0};
-double[] x = new double[6][];
+double[][] x = new double[6][];
 x[0] = new double[]{0, 0, 0, 0, 0};
 x[1] = new double[]{2.0, 0, 0, 0, 0};
 x[2] = new double[]{0, 3.0, 0, 0, 0};