Data - I have one continuous dependent variable and 10-15 factor independent variables. Tool - R
What kind of models I can use other than linear regression and regression trees?
I applied Linear regression in R and I achieved R^2 as 0.3. Regression trees are also not clear.
Are any other algorithms which can help me for this kind of dataset?