lm

Linear Model

Fits a linear regression model using Ordinary Least Squares (OLS).

Parameters

• data (DataFrame): The data to use.

• formula (Formula): The model formula (e.g., mpg ~ wt + hp).

• weights (Vector[Float] | List[Float]): = NA Optional non-negative observation weights for weighted least squares.

Returns

A model object containing coefficients, residuals, and statistics.

Examples

model = lm(mtcars, mpg ~ wt + hp)
summary(model)

See Also

add_diagnostics, fit_stats, summary