I am using quantile regression to find predictors of 90th percentile of my data. I am doing this in R using quantreg package. How can I determine r^2 quantile regression which will indicate how much of variability is being explained by predictor variables?

What I really want to know: "Any method I can use to find how much of variability is being explained? "

Thanks for your help.