Regstats model equation

The function regstats returns beta coefficients for a model of responses y from predictors x. For a quadratic model with one predictor, the model is simple:

b(1)*constant + b(2)*x + b(3)*x^2

(in that order, where b = stats.beta). However, as the number of predictors increases, it's not clear what order the beta coefficients are applied to the model. The model I'm interested in, for example, is quadratic with 3 predictor vectors, generating 10 beta coefficients. I can guess at what the model expansion would be, but is there any documentation on this (I couldn't find any)? Many thanks in advance!

Answer 1

[Wayne King]

Hi Dave, you can use x2fx() to figure out what order your terms appear in.

[dave matthews]

thanks - exactly what i needed.