I wish to perform multiple linear regression of 5 - 6 predictors (X) at a time.
I have total no. of 50 predictors.
I want to find regression coefficients for all possible combinations of predictors from the master dataset of 50 predictors taking 5 and 6 predictors at a time.
Y = a.X1 + b.X2 + c.X3 + d.X4 + e.X5 + f (5 predictors) Y = a.X1 + b.X2 + c.X3 + d.X4 + e.X5 + f.X6 + g (6 predictors)
I also want to find out the correlation coefficient between original Y and predicted Y after multiple Linear Regression.