[R] Correct statistical inference for linear regression models without intercept in R

[StatWM]

Let's assume x and y as stationary. It's not a spurious regression problem
here. I think the function lm() has to have an intercept to give correct
values of t- and p- and R squared. I wonder if you can correct the values in
R though?
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