Answer Posted / Durgesh Bharti

"The evaluate_model() function from the statistical modeling (statsmodels) package in R allows for the evaluation of a fitted model at new data points. It can be used to calculate predicted values, residuals, or other diagnostic statistics.nnExample:n```Rnlibrary(statsmodels)nn# Fit a linear regression modelnlin_reg <- lm(y ~ x)nn# Evaluate the model at new data pointsneval_data <- data.frame(x = c(1, 2, 3, 4))npredicted_values <- evaluate_model(lin_reg, eval_data)$fitted.values

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