Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets ...

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...

Abstract: We have introduced a novel multivariate regression model, called General Nk Hidden Multi-Layer Feed Forward Neural Network Model. The model prediction power comes essentially from a ...

Introduction: The search for biomarkers to predict radiosensitivity is important not only to individualize radiotherapy of cancer patients but also to forecast radiation exposure risks. The aim of ...

Abstract: Conventional regression methods, such as multivariate linear regression (MLR) and its extension principal component regression (PCR), deal well with the situations that the data are of the ...

ABSTRACT: In the Acadian Forest Region of northeastern North America, forest managers are under increasing public pressure to restore the forest to a more historic, natural condition by reducing in ...

ABSTRACT: Attention to disease and risk factor management is increasingly a feature of people with intellectual disability (ID) as an augmented life expectancy also exposes a growing number of ...

1 Department of Radiology, University of California at San Diego, La Jolla, CA, USA 2 Department of Molecular and Experimental Medicine, The Scripps Translational Science Institute, The Scripps ...