Code:

```
library(nnet)
model <- multinom(labs~GENDER+Education+Imp,data=mydata)
```

Education = (Primary, Secondary, University)

Imp = (YES, NO)

I have 300 participants in my study, I clustered them in 3 Clusters

So in

**labs**I have for each individual to which Cluster he belongs

In order to calculate Odds Ratios I run

Code:

```
or<-exp(coef(model))
round(or,3)
```

Code:

```
(Intercept) GENDERWoman EducationSecondary EducationUniversity ImpYES
Cluster 2 2.313 1.847 0.561 0.381 1.094
Cluster 3 1.029 0.824 0.382 0.366 1.136
```

And when they are lower than zero, for example for Gender = Woman in Cluster 3 I get 0.824 it means that the odds of belong to Cluster 3 are 1/0.824 but what does this mean?