Scientific programming is in itself a challenge due to several
concomitant issues and requirements including low response time, low
memory usage, minimizing numerical errors, error propagation.
R is a programming language for statistical computation providing a
wide set of packages for linear and non linear modeling, statistical
This talk will focus on the different Object-Oriented strategies
implemented to overcome those challenges, speed up the computation
while reducing the memory footprint.