extract residual from lm in r

To extract residuals from a linear regression model in R, you can follow these steps:

1. Fit the linear regression model using the lm() function. This function takes the form lm(formula, data), where formula is the formula specifying the model and data is the data frame containing the variables.

2. Assign the fitted model to a variable, for example, model_fit <- lm(formula, data).

3. Use the residuals() function to extract the residuals from the fitted model. This function takes the form residuals(object), where object is the fitted model object.

4. Assign the residuals to a variable, for example, model_residuals <- residuals(model_fit).

By following these steps, you can extract the residuals from a linear regression model in R.