Predicts subcellular localization. LR ensemble approximates the smallest set of predictors with the best possible prediction accuracy. It can be employed for building ensemble algorithms based on weighted voting or Linear Discriminant Analysis (LDA). This tool permits to reduce the number of individual predictors. It can be useful for the development of predictors tailored to specific organisms or available training datasets.