On 11/11/2013 01:07 AM, Phil Steitz wrote:
> Clirr does not complain about this change, I guess because pre- and
> post- are both unchecked, unadvertised exceptions.  Before making
> more of these changes, I want to make sure others are OK with this
> in a dot release.  Users who catch MathIllegalArgumentException will
> not be affected by this change, but those who catch
> NumberIsTooSmallException may break.  I thought about having the new
> exception subclass NumberIsTooSmallException, but that does not
> really make sense to me.  If others are not OK with this, I can roll
> back this change and wait to start using the new exception in older
> classes until 4.0.

If unsure, we could make it subclass NumberIsTooSmallException for now
and then change it to MathIllegalArgumentException in 4.0?

Thomas

> -------- Original Message --------
> Subject:      svn commit: r1540502 -
> /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
> 
> Date:         Sun, 10 Nov 2013 18:03:41 -0000
> From:         pste...@apache.org
> Reply-To:     dev@commons.apache.org
> To:   comm...@commons.apache.org
> 
> 
> 
> 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;
> 
> 
> 
> 
> 
> 
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