Hi Ben,
Yes thanks you are right, I was able to fix it but first I had to fix the data
frame over which I built my model to use numeric for those and then making the
grid values also numeric it finally worked thanks!
Thank you for your help!
Best regards,
Giovanni
On Dec 26, 2011, at 4:57 PM,
Giovanni Azua gmail.com> writes:
>
> Hello,
>
> I have tried reading the documentation and googling for the answer but
reviewing the online matches I end up
> more confused than before.
>
> My problem is apparently simple. I fit a glm model (2^k experiment), and then
I would like to predict th
Hi,
This might be due to the fact that factor levels are arbitary unless
they are ordinal, even that quantitative relationships between levels
are unclear. Therefore, the model has no way to predict unseen factor
levels.
Does it make sense to treat 'No_databases' as numeric instead of a
factor va
Hello,
I have tried reading the documentation and googling for the answer but
reviewing the online matches I end up more confused than before.
My problem is apparently simple. I fit a glm model (2^k experiment), and then I
would like to predict the response variable (Throughput) for unseen fact
4 matches
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