Actual vs Predicted data linear model

I want to make a linear model about my actual data vs predicted data. I only able to create a logY vs logX, but couldn't find any functions or code that create actual vs predicted. I found there are codes for that in Python or other software, any suggestion for RStudio?

Have you looked at the broom package https://github.com/tidymodels/broom? The augment function might be what you're looking for.

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Understand how to do linear models lm
https://www.tutorialspoint.com/r/r_multiple_regression.htm

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