#Gives you the optimal model according to the AIC, BIC and adj_R_Squared values, takes lm objects as input.
wasgud <- function(...){
filter(isgud(...),
AIC == min(AIC),
BIC == min(BIC),
adj_R_squared == max(adj_R_squared)
)%>%
unique()
}
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