Predicting future value with regression Model I have a set of predictor variables and another target variable .

Now I am really confused on what method to use to forecast the target variable .

For e.g my data set have customer profit(which is my target variable) and a set of predictor variable(balances of different account) for one year for each customer .

Now I need to predict profit of next 5 years .I am confused in the part that I dont have the data(predictor variables) for future .

What are my possible choices of modelling .Please assist .
You should distinct between a time series prediction, where from a known history of some attribute the future is predicted and model prediction where based on the predictor variables the target variable is calculated.

In your case you could combine both approaches, i.e. use time series prediction on the customer balances and apply the regression model to calculate the profit on the result.