svn commit: r1540502 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

[psteitz]

Author: psteitz
Date: Sun Nov 10 18:03:41 2013
New Revision: 1540502

URL: http://svn.apache.org/r1540502
Log:
Changed to use InsufficientDataException when the model does not contain 
sufficient data for the number of regerssors; fixed error in precondition 
statement.

Modified:
    
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Modified: 
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
URL: 
http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
==============================================================================
--- 
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
 (original)
+++ 
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
 Sun Nov 10 18:03:41 2013
@@ -17,10 +17,10 @@
 package org.apache.commons.math3.stat.regression;
 
 import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.exception.InsufficientDataException;
 import org.apache.commons.math3.exception.MathIllegalArgumentException;
 import org.apache.commons.math3.exception.NoDataException;
 import org.apache.commons.math3.exception.NullArgumentException;
-import org.apache.commons.math3.exception.NumberIsTooSmallException;
 import org.apache.commons.math3.exception.util.LocalizedFormats;
 import org.apache.commons.math3.linear.NonSquareMatrixException;
 import org.apache.commons.math3.linear.RealMatrix;
@@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
      * @throws NullArgumentException if the data array is null
      * @throws DimensionMismatchException if the length of the data array is 
not equal
      * to <code>nobs * (nvars + 1)</code>
-     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller than
-     * <code>nvars</code>
+     * @throws InsufficientDataException if <code>nobs</code> is less than
+     * <code>nvars + 1</code>
      */
     public void newSampleData(double[] data, int nobs, int nvars) {
         if (data == null) {
@@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
             throw new DimensionMismatchException(data.length, nobs * (nvars + 
1));
         }
         if (nobs <= nvars) {
-            throw new NumberIsTooSmallException(nobs, nvars, false);
+            throw new 
InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE,
 nobs, nvars + 1);
         }
         double[] y = new double[nobs];
         final int cols = noIntercept ? nvars: nvars + 1;