R/parallelization.R
do.glm.Rd(Internal function) Perform regression models, internally used for parallelization
do.glm(X, PC, method = "linear")
| X | A vector of data |
|---|---|
| PC | A matrix of principal components |
| method | Specify a method to be used for regression model, which can be "linear", "poisson", and "negative.binomial". Default = "linear" |
A vector of residuals computed from regression model