I have a small data set 30 features/predictors and 30 observations. My target variable is Oil production and my predictors are well & reservoir properties (depth, trajectory, temperature, pressure etc) I want to identify the manner in which these features impact the target variable via identifying patterns that may exist in my dataset. The relationships may be non-linear and many features are correlated to each other.
Can you please suggest me some great ways to approach this problem?
Any help will be greatly appreciated! Thanks.