using transform.poly for multifactorial polynomial regression-solution

[Andrew Czarn <aczarn@csse.uwa.edu.au>]

the solution to my recently posted question can be found from the 
following URLs:

http://www.biostat.harvard.edu/~cwager/eeb99/node4.html

http://www.biostat.wustl.edu/mailinglists/s-news/200001/msg00189.html

in my case it necessitated using "c" to extract the necessary 
coefficients including the intercept, viz:

*****************************************************************************
print(poly.transform(poly(muValuePooledON,2),coef(tempPooled2.lm)[c(1,3,4)]))
      x^0       x^1      x^2
 124.3585 -1294.637 9419.399
*****************************************************************************

hope this helps anyone else

andrew

Dr AST Czarn