I have been working with data and building models on data. I have developed models in regression using cubic and power series. It works fine for variables with one dependent and one independent variable.
What kind of technique is to be adopted if I have to find an equation or model for say, D depends on C, C changes for a set of B, which changes for different A.
I can carry our bi-variate correlation to find significance. But, that is not something I am interested in. I have data, but wondering as to how to fit a model in those lines. I have tried building models with regression, line fitting and get a relationship between D and C, or D and B. Good fits with varying constants, but no relationship between the others.
Is there a way to combine and build a model altogether?
What is that kind of analysis called?
How to go about it? Any software that would help me do it? I have been using SPSS, Minitab, and R.