Summary In microbiome and genomic studies, the regression of compositional data has been a crucial tool for identifying microbial taxa or genes that are associated with clinical phenotypes. To account variation in sequencing depth, classic log-contrast model is often used where read counts normalized into compositions. However, zero randomness covariates remain critical issues. We introduce sur...