Fahd <[EMAIL PROTECTED]> wrote in
news:[EMAIL PROTECTED]: 

> Thanks a lot for the info, but I have one other simple question.
> Encoding activities as 0 or 1 will allow me to identify the sensor
> correlations for these two activities. But what if I have a third
> activity, is there a way to figure out the set of sensors that
> correlate to the three activities instead of looking at them in pairs
> or is there a way to combine the correlations from the pairs?. Thanks.

You might look into multinomial logit modelling, which is an extension of 
logistic regression to handle the case where the outcome variable is 
multinomial (as it would be if outcomes fall into more than two mutually-
exclusive categories) rather than binomial.  Agresti's _Categorical Data 
Analysis_ would be a good starting point.
.
.
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