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  /libcore/benchmarks/src/benchmarks/regression/
StringSplitBenchmark.java 17 package benchmarks.regression;
BidiBenchmark.java 17 package benchmarks.regression;
BitSetBenchmark.java 17 package benchmarks.regression;
ByteBufferScalarVersusVectorBenchmark.java 17 package benchmarks.regression;
CharsetBenchmark.java 17 package benchmarks.regression;
DateFormatBenchmark.java 17 package benchmarks.regression;
DateIntervalFormatBenchmark.java 17 package benchmarks.regression;
DateToStringBenchmark.java 17 package benchmarks.regression;
DoPrivilegedBenchmark.java 17 package benchmarks.regression;
DoubleBenchmark.java 17 package benchmarks.regression;
FloatBenchmark.java 17 package benchmarks.regression;
IntConstantDivisionBenchmark.java 17 package benchmarks.regression;
IntConstantMultiplicationBenchmark.java 17 package benchmarks.regression;
MutableIntBenchmark.java 17 package benchmarks.regression;
RelativeDateTimeFormatterBenchmark.java 17 package benchmarks.regression;
SchemePrefixBenchmark.java 17 package benchmarks.regression;
StringToBytesBenchmark.java 17 package benchmarks.regression;
TimeZoneBenchmark.java 17 package benchmarks.regression;
CipherInputStreamBenchmark.java 17 package benchmarks.regression;
CollectionsBenchmark.java 17 package benchmarks.regression;
KeyPairGeneratorBenchmark.java 17 package benchmarks.regression;
PriorityQueueBenchmark.java 17 package benchmarks.regression;
StringBenchmark.java 17 package benchmarks.regression;
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/
MultipleLinearRegression.java 17 package org.apache.commons.math.stat.regression;
20 * The multiple linear regression can be represented in matrix-notation.
25 * <b>regressors</b>, b is <code>k-vector</code> of <b>regression parameters</b> and <code>u</code> is an <code>n-vector</code>
36 * Estimates the regression parameters b.
43 * Estimates the variance of the regression parameters, ie Var(b).
64 * Returns the standard errors of the regression parameters.
66 * @return standard errors of estimated regression parameters
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/
PearsonsCorrelation.java 28 import org.apache.commons.math.stat.regression.SimpleRegression;
229 SimpleRegression regression = new SimpleRegression(); local
237 regression.addData(xArray[i], yArray[i]);
239 return regression.getR();

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