<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
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>
<s-function-doc>
<s-topics>
   <s-topic>update.lmRob</s-topic>
</s-topics>
<s-title>
Use <s-expression>update()</s-expression> on an <s-expression>lmRob</s-expression> Object 
</s-title>
<s-description>
This is a method for the function <s-expression>update()</s-expression> for objects inheriting from  
class <s-expression>lmRob</s-expression>. See <s-expression>update</s-expression> for the general behavior of this function  
and for the interpretation of the arguments. 
</s-description>
<s-usage>
<s-old-style-usage>
update.lmRob(object, formula, evaluate=T, class, ...) 
</s-old-style-usage>
</s-usage>
<s-details>
If <s-expression>formula</s-expression> is missing, <s-expression>update.lmRob</s-expression> alternates between the initial  
estimates and final estimates. If <s-expression>formula</s-expression> is present, <s-expression>update.lmRob</s-expression>  
functions just like <s-expression>update.default</s-expression>.  
</s-details>
<s-section name=" REFERENCES">

Gervini, D., and Yohai, V. J. (1999). A class of robust and fully 
efficient regression estimates, mimeo, Universidad de Buenos Aires. 
<br><br>
Yohai, V., Stahel, W. A., and Zamar, R. H. (1991): A procedure for robust  
estimation and inference in linear regression, in Stahel, W. A. and Weisberg,  
S. W., Eds.,  
<it>Directions in robust statistics and diagnostics, Part II. </it>
Springer-Verlag, New York.  
</s-section>
<s-see>
<s-function name="update.sgm">update</s-function>. </s-see>
<s-examples>
<s-example type = text>
# Alternates between initial and final estimates
stack.df &lt;- data.frame(Loss=stack.loss,stack.x) 
stack.final &lt;- lmRob(Loss~Air.Flow+Water.Temp+Acid.Conc., data=stack.df) 
stack.initial &lt;- update(stack.final) 
</s-example>
</s-examples>
<s-keywords>
<s-keyword>robust</s-keyword>
<s-keyword>regression</s-keyword>
<s-keyword>librobust</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
