svn commit: r1073466 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java

[lu...@apache.org]

Author: luc
Date: Tue Feb 22 19:35:32 2011
New Revision: 1073466

URL: http://svn.apache.org/viewvc?rev=1073466&view=rev
Log:
added missing @since tags
JIRA: MATH-531

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java?rev=1073466&r1=1073465&r2=1073466&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math/stat/regression/OLSMultipleLinearRegression.java Tue Feb 22 19:35:32 2011
@@ -129,6 +129,7 @@ public class OLSMultipleLinearRegression
      *
      * @return SSTO - the total sum of squares
      * @see #isNoIntercept()
+     * @since 2.2
      */
     public double calculateTotalSumOfSquares() {
         if (isNoIntercept()) {
@@ -142,6 +143,7 @@ public class OLSMultipleLinearRegression
      * Returns the sum of squared residuals.
      *
      * @return residual sum of squares
+     * @since 2.2
      */
     public double calculateResidualSumOfSquares() {
         final RealVector residuals = calculateResiduals();
@@ -156,6 +158,7 @@ public class OLSMultipleLinearRegression
      * and SSTO is the {@link #calculateTotalSumOfSquares() total sum of squares}
      *
      * @return R-square statistic
+     * @since 2.2
      */
     public double calculateRSquared() {
         return 1 - calculateResidualSumOfSquares() / calculateTotalSumOfSquares();
@@ -175,6 +178,7 @@ public class OLSMultipleLinearRegression
      *
      * @return adjusted R-Squared statistic
      * @see #isNoIntercept()
+     * @since 2.2
      */
     public double calculateAdjustedRSquared() {
         final double n = X.getRowDimension();