Choosing Quantile Regression Model Via Lasso Optimality for the Effect of the Salinity of Soil in Al-Shamia City-Iraq

The variable selection is special case of model selection, choosing optimal model is considered hard mater, to overcome this problem lasso technique have been used. The quantile regression is a good tool for achieving evaluated the relationship between response variable and a set of explanatory variables because, it is effectiveness without assumptions. When built-in between the quantile regression and lasso technique give us a good method to achieving coefficient estimation and variable selection in different type regression models. To a choosing optimal model that show the variables more effected on earth salinity of AL-shamia city the lasso model selection in quantile regression model have been used .