R help - Jul 2007 - QP for solving Support Vector Regression

Dear R users,   
  I'm trying to run the Support Vector Regression by a general quadratic
programming function like ipop ( ) in kernlab or solve.QP ( ) in quadprog
packages.
   
  Since they are general, their application in Support Vector Regression can
lead to misunderstanding, particularly when constructing matrices. Even their
examples are general and applied in Support Vector Classification.
   
  Could anybody please introduce an example code for regression case.
   
  Thank you so much for help.
   
  Tobi
   
   

       
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The ksvm object is probably what you need to use.

[quote]
Dear R users,
   I'm trying to run the Support Vector Regression by a general 
quadratic programming function like ipop ( ) in kernlab or solve.QP ( ) 
in quadprog packages.

   Since they are general, their application in Support Vector 
Regression can lead to misunderstanding, particularly when constructing 
matrices. Even their examples are general and applied in Support Vector 
Classification.

   Could anybody please introduce an example code for regression case.
[\quote]