MLRMPA-package: Multiple Linear Regression Model Population Analysis
In MLRMPA: A package for Multilinear Regression Model Population Analysis

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This package allows to perform Multiple Linear Regression Model Population Analysis. It contains quickly deleting non-information and random selecting descriptors from the clustered descriptors and generating 2D-QSAR models, based on Monte Carlo Sampling technique and stepwise MLR. As a result a pool of models can be developed for modeling and prediction. Meanwhile, the predictive ability and robustness of the developed models will be illustrated using the following validation techniques: leave-one-out (LOO) cross-validation procedures, leave-group-out (LGO) cross-validation procedures, squared correlation coefficient of test set and validation through an external test set.