|What’s New in SAS/STAT|
Quantile regression extends the regression model to conditional quantiles of the response variable, such as the 90th percentile. Quantile regression is particularly useful when the rate of change in the conditional quantile, expressed by the regression coefficients, depends on the quantile. The main advantage of quantile regression over least squares regression is its flexibility for modeling data with heterogeneous conditional distributions. The QUANTREG procedure was first made available as a Web download for SAS 9.1.3.
With SAS 9.2, the QUANTREG procedure becomes production. In addition, it now includes the experimental EFFECT statement for generating splines and the ability to output results for multiple quantiles in the OUTPUT statement.