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2012 Apr 03
2
pairwise linear regression between two large datasets
...h (last) residual of the aforementioned linear regression. I have tried the following code, but i don't seem to get it work. Moreover, any idea of using a for loop is disastrous since A and B are very large matrices. I'd be grateful for any suggestions! C <- apply( A[ ,1:dim(A)[2] ], 2, linRegZscore, y=A[ ,1:dim(A)[2]] ) where linRegZscore is the following function linRegUtility1 <- function(x,y){ regRes <- lm(y~x)$residuals ( regRes[dim(regRes)[1]]-apply(regRes, 2, mean) )/( apply(regRes,2, sd) ) } [[alternative HTML version deleted]]