r - Extracting dependent variable from lm object -

is there function extract y lm object?

i use residual(m) , predict(m) using object internal structures extract y...

m = lm(y ~ x1, d) head(m$model$y) [1] -0.791214 -1.291986 -0.472839  1.940940 -0.977910 -1.705539 

you use model.frame(), following:

# stats::lm documentation ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) group <- gl(2, 10, 20, labels = c("ctl","trt")) weight <- c(ctl, trt) lm1 <- lm(weight ~ group)  model.frame(lm1)$weight ##  [1] 4.17 5.58 5.18 6.11 4.50 4.61 5.17 4.53 5.33 5.14 4.81 4.17 4.41  ##  3.59 5.87 3.83 6.03 4.89 4.32 4.69 

if call function on 1 or more of variables in formula, like

lm2 <- lm(log(weight) ~ group) 

you can untransformed values get_all_vars(lm2)$weight (model.frame() returns transformed values).

if want see functions (particularly extractor functions) available particular class, can check using methods(class = "lm") (or whatever object class you're interested in).