Is there a Ruby library that a开发者_Go百科llows me to do either linear or non-linear least squares approximation of a set of data.
I am looking for a numpy-based implementation of ordinary least squares that would allow the fit to be updated with more observations. Something along the lines of Applied Statistics alg开发者_运维问答
Suppose we have an additive model of the form y=x1+x2+... with a lot of variables. Is there a routine in R to identify variables that should be considered as exhibiting a quadratic effect? I know that
Does anyone know of a scientific/mathematical library in Java that has a straightforward implementation of weighted linear regression? Something along the lines of a function that takes 3 arguments an
I\'m trying to reporduce some code from R in C, so I\'m trying to fit a linear regression using the gsl_fit_linear() function.
for start, i am newbie in C++. i am writing a program for my Master thesis which part of it suppose to solve regression in a recursive way.
I would like to solve the system of linear equations: Ax = b A is a n x m matrix (not square), b and x are both n x 1 vectors. Where A and b are known, n is from the order of 50-100and m is about
I have two dependents that both depent on two variables AND on each other, can this be modelled in R (must be!) but I can\'t figure out how, anyone a hint?
Greetings, I\'m performing research t开发者_如何学Pythonhat will help determine the size of observed space and the time elapsed since the big bang. Hopefully you can help!
I am fitting a model to factor data and predicting. If the newdata in predict.lm() contains a single factor level that is unknown to the model, all of predict.lm() fails and returns an error.
加载中,请稍侯......