diff --git a/src/java/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatistics.java b/src/java/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatistics.java
index 3f9e95ce8..58b747171 100644
--- a/src/java/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatistics.java
+++ b/src/java/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatistics.java
@@ -133,19 +133,6 @@ public class MultivariateSummaryStatistics
/** Covariance statistic implementation - cannot be reset. */
private VectorialCovariance covarianceImpl;
- /**
- * Return a {@link StatisticalMultivariateSummary} instance reporting current
- * statistics.
- *
- * @return Current values of statistics
- */
- public StatisticalMultivariateSummary getSummary() {
- return new StatisticalMultivariateSummaryValues(getDimension(), getMean(),
- getCovariance(), getStandardDeviation(),
- getN(), getMax(), getMin(),
- getSum(), getSumSq(), getSumLog());
- }
-
/**
* Add an n-tuple to the data
*
@@ -268,7 +255,7 @@ public class MultivariateSummaryStatistics
/**
* Returns the covariance matrix of the values that have been added.
*
- * @return the variance
+ * @return the covariance matrix
*/
public RealMatrix getCovariance() {
return covarianceImpl.getResult();
diff --git a/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummaryValues.java b/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummaryValues.java
deleted file mode 100644
index 4987b2a1a..000000000
--- a/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummaryValues.java
+++ /dev/null
@@ -1,215 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements. See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package org.apache.commons.math.stat.descriptive;
-
-import java.io.Serializable;
-
-import org.apache.commons.math.linear.RealMatrix;
-import org.apache.commons.math.util.MathUtils;
-
-/**
- * Value object representing the results of a statistical multivariate summary.
- *
- * @since 1.2
- * @version $Revision: 480440 $ $Date: 2006-11-29 08:14:12 +0100 (mer., 29 nov. 2006) $
- */
-public class StatisticalMultivariateSummaryValues
- implements Serializable, StatisticalMultivariateSummary {
-
- /** Serialization id */
- private static final long serialVersionUID = 8152538650791979064L;
-
- /** Dimension of the data. */
- private final int k;
-
- /** The sample mean */
- private final double[] mean;
-
- /** The sample covariance */
- private final RealMatrix covariance;
-
- /** The sample standard deviation. */
- private double[] stdev;
-
- /** The number of observations in the sample */
- private final long n;
-
- /** The maximum value */
- private final double[] max;
-
- /** The minimum value */
- private final double[] min;
-
- /** The sum of the sample values */
- private final double[] sum;
-
- /** The sum of the squares of the sample values */
- private final double[] sumSq;
-
- /** The sum of the logarithms of the sample values */
- private final double[] sumLog;
-
- /**
- * Constructor
- *
- * @param mean the sample mean
- * @param covariance the sample covariance
- * @param stdev the sample standard deviation
- * @param k dimension of the data
- * @param n the number of observations in the sample
- * @param max the maximum value
- * @param min the minimum value
- * @param sum the sum of the values
- * @param sumSq the sum of the squares of the values
- * @param sumLog the sum of the logarithms of the values
- */
- public StatisticalMultivariateSummaryValues(int k, double[] mean,
- RealMatrix covariance, double[] stdev,
- long n, double[] max, double[] min,
- double[] sum, double[] sumSq, double[] sumLog) {
- super();
- this.k = k;
- this.mean = (double[]) mean.clone();
- this.covariance = covariance;
- this.stdev = (double[]) stdev.clone();
- this.n = n;
- this.max = (double[]) max.clone();
- this.min = (double[]) min.clone();
- this.sum = (double[]) sum.clone();
- this.sumSq = (double[]) sumSq.clone();
- this.sumLog = (double[]) sumLog.clone();
- }
-
- /**
- * Returns the dimension of the data
- * @return The dimension of the data
- */
- public int getDimension() {
- return k;
- }
-
- /**
- * @return Returns the max.
- */
- public double[] getMax() {
- return (double[]) max.clone();
- }
-
- /**
- * @return Returns the mean.
- */
- public double[] getMean() {
- return (double[]) mean.clone();
- }
-
- /**
- * @return Returns the min.
- */
- public double[] getMin() {
- return (double[]) min.clone();
- }
-
- /**
- * @return Returns the number of values.
- */
- public long getN() {
- return n;
- }
-
- /**
- * @return Returns the sum.
- */
- public double[] getSum() {
- return (double[]) sum.clone();
- }
-
- /**
- * @return Returns the sum of the squares.
- */
- public double[] getSumSq() {
- return (double[]) sumSq.clone();
- }
-
- /**
- * @return Returns the sum of the logarithms.
- */
- public double[] getSumLog() {
- return (double[]) sumLog.clone();
- }
-
- /**
- * @return Returns the standard deviation (roots of the diagonal elements)
- */
- public double[] getStandardDeviation() {
- return (double[]) stdev.clone();
- }
-
- /**
- * @return Returns the covariance.
- */
- public RealMatrix getCovariance() {
- return covariance;
- }
-
- /**
- * Returns true iff object
is a
- * StatisticalSummaryValues
instance and all statistics have
- * the same values as this.
- *
- * @param object the object to test equality against.
- * @return true if object equals this
- */
- public boolean equals(Object object) {
- if (object == this ) {
- return true;
- }
- if (object instanceof StatisticalMultivariateSummaryValues == false) {
- return false;
- }
- StatisticalMultivariateSummaryValues stat = (StatisticalMultivariateSummaryValues) object;
- return ((stat.getDimension() == this.getDimension()) &&
- MathUtils.equals(stat.getMax(), this.getMax()) &&
- MathUtils.equals(stat.getMean(),this.getMean()) &&
- MathUtils.equals(stat.getMin(),this.getMin()) &&
- MathUtils.equals(stat.getN(), this.getN()) &&
- MathUtils.equals(stat.getSum(), this.getSum()) &&
- MathUtils.equals(stat.getSumSq(), this.getSumSq()) &&
- MathUtils.equals(stat.getSumLog(), this.getSumLog()) &&
- MathUtils.equals(stat.getStandardDeviation(), this.getStandardDeviation()) &&
- stat.getCovariance().equals(this.getCovariance()));
- }
-
- /**
- * Returns hash code based on values of statistics
- *
- * @return hash code
- */
- public int hashCode() {
- int result = getDimension();
- result = result * 31 + MathUtils.hash(getMax());
- result = result * 31 + MathUtils.hash(getMean());
- result = result * 31 + MathUtils.hash(getMin());
- result = result * 31 + MathUtils.hash(getN());
- result = result * 31 + MathUtils.hash(getSum());
- result = result * 31 + MathUtils.hash(getSumSq());
- result = result * 31 + MathUtils.hash(getSumLog());
- result = result * 31 + getCovariance().hashCode();
- result = result * 31 + MathUtils.hash(getStandardDeviation());
- return result;
- }
-
-}
diff --git a/src/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java b/src/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java
index fd62a202c..51c385c76 100644
--- a/src/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java
+++ b/src/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java
@@ -48,13 +48,6 @@ public class SynchronizedMultivariateSummaryStatistics
super(k, isCovarianceBiasCorrected);
}
- /**
- * @see org.apache.commons.math.stat.descriptive.MultivariateSummary#getSummary()
- */
- public synchronized StatisticalMultivariateSummary getSummary() {
- return super.getSummary();
- }
-
/**
* @see org.apache.commons.math.stat.descriptive.MultivariateSummary#addValue(double[])
*/