<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
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<s-function-doc>
<s-topics>
   <s-topic>anova.lmRob</s-topic>
</s-topics>
<s-title>
Use <s-expression>anova()</s-expression> on an <s-expression>lmRob</s-expression> object 
</s-title>
<s-description>
This is a method for the function <s-expression>anova()</s-expression> for objects inheriting from  
class <s-expression>lmRob</s-expression>. See <s-expression>anova</s-expression> for the general behavior of this function  
and for the interpretation of the arguments.  
</s-description>
<s-usage>
<s-old-style-usage>
anova.lmRob(object, ..., test=c("RWald", "RF")) 
</s-old-style-usage>
</s-usage>
<s-details>
The default test used by anova is the <s-expression>"RWald"</s-expression> test, which is the Wald  
test based on robust estimates of the coefficients and covariance matrix.  
If <s-expression>test</s-expression> is <s-expression>"RF"</s-expression>, the robustified F-test is used instead.  
</s-details>
<s-section name=" REFERENCES">

Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., and Stahel, W. A. (1986).  
<it>Robust statistics: the approach based on influence functions.</it>
John Wiley &#38; Sons.  
</s-section>
<s-see>
<s-function name="anova.sgm">anova</s-function>. </s-see>
<s-keywords>
<s-keyword>models</s-keyword>
<s-keyword>robust</s-keyword>
<s-keyword>librobust</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
