R: Predict method for Linear Model Fits
Description Predicted values based on linear model object. Usage ## S3 method for class 'lm' predict(object, newdata, se.fit = FALSE, scale = NULL, df = Inf, interval = c("none", "confidence", "prediction"), level = 0.95, type = c("response", "terms"), terms = NULL, na.action = na.pass, pred.var = res.var/weights, weights = 1, rankdeficient = c("warnif", "simple", "non-estim", "NA", "NAwarn"), non
rpy2
The rpy2 site has moved to https://rpy2.bitbucket.io. You will be redirected in 15 s econds. About rpy2 is an interface to R running embedded in a Python process. The project is mature, stable, and widely used. Source and installation Released source packages are available on PyPi. Installing should be as easy as pip install rpy2 The source code is also in a public repository on bitbucket. Documen
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RPy (R from Python)
