Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

To do this in R we must first make sure we limit our data frame to numerical variables (the regression function creates dummies automatically, but AirEntrain remains a categorical variable). To do ...

We provide a remedy for two concerns that have dogged the use of principal components in regression: (i) principal components are computed from the predictors alone and do not make apparent use of the ...

Predicting the affinity profiles of nucleic acid–binding proteins directly from the protein sequence is a challenging problem. We present a statistical approach for learning the recognition code of a ...

Ying Wei, Raymond J. Carroll, Quantile Regression With Measurement Error, Journal of the American Statistical Association, Vol. 104, No. 487 (September 2009), pp. 1129-1143 ...