public class LMDiagnostics extends Object
DFFITS is a diagnostic meant to show how influential a point is in a statistical regression. It is defined as the change, in the predicted value for a point, obtained when that point is left out of the regression, "studentized" by dividing by the estimated standard deviation of the fit at that point.
Cook's distance is a commonly used estimate of the influence of a data point. Cook's distance can be used in several ways: to indicate data points that are particularly worth checking for validity; to indicate regions of the design space where it would be good to be able obtain more data points.
Hadi proposed a measure of influence of the ith observation based on the fact that influential observations are outliers in either the response variable or in the predictors, or both.
Constructor and Description 

LMDiagnostics(LMResiduals residuals)
Constructs an instance of the
Diagnostics from the results of residual analysis. 
Modifier and Type  Method and Description 

ImmutableVector 
cookDistances()
Cook distances.

ImmutableVector 
DFFITS()
DFFITS, Welsch and Kuh Measure.

ImmutableVector 
Hadi()
Hadi's influence measure.

public LMDiagnostics(LMResiduals residuals)
Diagnostics
from the results of residual analysis.residuals
 the residual analysis of a linear regressionpublic ImmutableVector DFFITS()
public ImmutableVector cookDistances()
public ImmutableVector Hadi()
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