Changes in version 1.0.0                        

  - Initial CRAN submission.

                 Changes in version 0.1.0 (2026-02-04)                  

Features

  - lm_sql() fits OLS linear regression models entirely in-database via
    a single SQL aggregation query.
  - Automatic dummy encoding for character and factor predictors with
    CASE WHEN SQL generation.
  - Interaction terms (*, :) fully supported, including interactions
    between numeric and categorical variables.
  - Dot expansion (y ~ .) expands to all non-response columns.
  - Formula transforms: I(), log(), and sqrt() translated to SQL
    equivalents (POWER, LN, SQRT).
  - Date and datetime predictor support: Date and POSIXct columns
    automatically converted to numeric in SQL, matching base R's lm()
    behavior.
  - Grouped regression via dplyr::group_by() computes multiple models in
    a single GROUP BY query.
  - No-intercept models (y ~ 0 + x) handled correctly.
  - S7-based result objects with broom::tidy() and broom::glance()
    methods.
  - orbital integration for in-database predictions.
  - Cholesky decomposition for matrix inversion with MASS::ginv()
    fallback for rank-deficient designs.