public class LeastSquaresRegressionResult extends Object
| Constructor and Description |
|---|
LeastSquaresRegressionResult(double[] betas,
double[] residuals,
double meanSquareError,
double[] standardErrorOfBeta,
double rSquared,
double rSquaredAdjusted,
double[] tStats,
double[] pValues,
boolean hasIntercept) |
LeastSquaresRegressionResult(LeastSquaresRegressionResult result) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
double |
getAdjustedRSquared() |
double[] |
getBetas() |
double |
getMeanSquareError() |
double |
getPredictedValue(double[] x) |
double[] |
getPValues() |
double[] |
getResiduals() |
double |
getRSquared() |
double[] |
getStandardErrorOfBetas() |
double[] |
getTStatistics() |
int |
hashCode() |
boolean |
hasIntercept() |
public LeastSquaresRegressionResult(LeastSquaresRegressionResult result)
public LeastSquaresRegressionResult(double[] betas,
double[] residuals,
double meanSquareError,
double[] standardErrorOfBeta,
double rSquared,
double rSquaredAdjusted,
double[] tStats,
double[] pValues,
boolean hasIntercept)
public double[] getBetas()
public double[] getResiduals()
public double getMeanSquareError()
public double[] getStandardErrorOfBetas()
public double getRSquared()
public double getAdjustedRSquared()
public double[] getTStatistics()
public double[] getPValues()
public boolean hasIntercept()
public double getPredictedValue(double[] x)
Copyright 2009-Present by OpenGamma Inc. and individual contributors
Apache v2 licensed
Additional documentation can be found at strata.opengamma.io.