<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
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<s-function-doc>
<s-topics>
   <s-topic>lmRobBI.object</s-topic>
</s-topics>
<s-title>
Robust Linear Model Objects -- Bounded Influence Estimator 
</s-title>
<s-description>
These are objects of class <s-expression>lmRobBI</s-expression> which represent the robust fit of  
a linear regression model, as estimated by <s-expression>lmRobBI()</s-expression> function. 
</s-description>
<s-section name=" GENERATION">

This class of objects is returned from the <s-expression>lmRobBI</s-expression> function. 
</s-section>
<s-section name=" METHODS">

<s-expression>coefficients</s-expression>, <s-expression>fitted.values</s-expression>, <s-expression>formula</s-expression>, <s-expression>labels</s-expression>, <s-expression>plot</s-expression>,  
<s-expression>print</s-expression>, <s-expression>residuals</s-expression>, <s-expression>summary</s-expression>. 
</s-section>
<s-section name=" STRUCTURE">

The following components must be included in a legitimate <s-expression>"lmRobBI"</s-expression>  
object: 
</s-section>
<s-value>
<s-return-component name="coefficients">
vector of coefficients for the robust regression.  
</s-return-component>
<s-return-component name="scale">
the bounded influence estimate of scale parameter. 
</s-return-component>
<s-return-component name="residuals">
the residual vector corresponding to the estimates returned in  
<s-expression>coefficients</s-expression>. 
</s-return-component>
<s-return-component name="fitted.values">
the fitted values corresponding to the estimates returned in <s-expression>coefficients</s-expression>. 
</s-return-component>
<s-return-component name="O.weights">
the optimal weights used by the bounded influence estimator. 
</s-return-component>
<s-return-component name="cov">
the estimated covariance matrix of the estimates in <s-expression>coefficients</s-expression>. 
</s-return-component>
<s-return-component name="iter.weight">
the number of iterations used in the nonlinear algorithm for computing 
the optimal weights. 
</s-return-component>
<s-return-component name="iter.coef">
the number of iterations used in the nonlinear algorithm for computing 
the coefficient estimates. 
</s-return-component>
<s-return-component name="rank">
the rank of the design matrix <s-expression>x</s-expression>. 
</s-return-component>
<s-return-component name="call">
an image of the call that produced the object, but with the arguments all  
named and with the actual formula included as the <s-expression>formula</s-expression> argument. 
</s-return-component>
<s-return-component name="assign">
the same as the <s-expression>assign</s-expression> component of an <s-expression>"lm"</s-expression> object. 
</s-return-component>
<s-return-component name="contrasts">
the same as the <s-expression>contrasts</s-expression> component of an <s-expression>"lm"</s-expression> object. 
</s-return-component>
<s-return-component name="terms">
the same as the <s-expression>terms</s-expression> component of an <s-expression>"lm"</s-expression> object.  
</s-return-component>
</s-value>
<s-see>
<s-function name="lmRobBI.sgm">lmRobBI</s-function>. </s-see>
<s-keywords>
<s-keyword>librobust</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
