[R] Trying something for fun...

[Noah Silverman]

Hi,

For fun, I'm trying to throw some horse racing data into either an svm 
or lrm model.  Curious to see what comes out as there are so many 
published papers on this.

One thing I don't know how to do is to standardize the probabilities by 
race.

For example, if I train an LRM on a bunch of variable I get a model.  I 
can then get probability predictions from the model.  That works.

It seems to me, that for a given race (8-12 horses) the probabilites of 
my predictions should sum to one.

1) Is there some way to train the LRM to evaluate and then model the 
subsequent date "per race"??  (Perhaps indicate some kind of grouping 
variable?

2) Alternately, if I just run my data through a "standard" LRM, is there 
some way to then "normalize" the probabilities in a correct way for each 
upcoming race?

I've done some extensive research in this area and would be willing to 
discuss more details offline with someone if they could contribute to 
the process.

Thanks!!

-N