Removed unnecessary return statements, reported by pmd.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1364366 13f79535-47bb-0310-9956-ffa450edef68
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@ -23,7 +23,7 @@ import org.apache.commons.math3.util.Precision;
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import org.apache.commons.math3.util.MathArrays;
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/**
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* <p>This class is a concrete implementation of the {@link UpdatingMultipleLinearRegression} interface.</p>
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* This class is a concrete implementation of the {@link UpdatingMultipleLinearRegression} interface.
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*
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* <p>The algorithm is described in: <pre>
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* Algorithm AS 274: Least Squares Routines to Supplement Those of Gentleman
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@ -143,7 +143,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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} else {
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this.epsilon = -errorTolerance;
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}
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return;
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}
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/**
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@ -195,7 +194,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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include(tmp, 1.0, y);
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}
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++nobs;
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return;
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}
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@ -225,7 +223,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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for (int i = 0; i < x.length; i++) {
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this.addObservation(x[i], y[i]);
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}
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return;
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}
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/**
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@ -298,7 +295,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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}
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}
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sserr = smartAdd(sserr, w * y * y);
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return;
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}
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/**
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@ -349,7 +345,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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this.sumsqy = 0.0;
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this.rss_set = false;
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this.tol_set = false;
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return;
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}
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/**
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@ -373,7 +368,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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tol[col] = eps * total;
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}
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tol_set = true;
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return;
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}
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/**
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@ -470,7 +464,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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}
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}
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}
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return;
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}
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/**
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@ -490,7 +483,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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rss[i - 1] = total;
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}
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rss_set = true;
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return;
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}
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/**
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@ -594,7 +586,6 @@ public class MillerUpdatingRegression implements UpdatingMultipleLinearRegressio
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pos -= nreq - row;
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}
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}
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return;
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}
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/**
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