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lm_sql() fits OLS linear regression models entirely
in-database via a single SQL aggregation query.CASE WHEN SQL generation.*, :) fully supported,
including interactions between numeric and categorical variables.y ~ .) expands to all non-response
columns.I(), log(), and
sqrt() translated to SQL equivalents (POWER,
LN, SQRT).Date and
POSIXct columns automatically converted to numeric in SQL,
matching base R’s lm() behavior.dplyr::group_by() computes
multiple models in a single GROUP BY query.y ~ 0 + x) handled correctly.broom::tidy() and
broom::glance() methods.orbital integration for in-database predictions.MASS::ginv() fallback for rank-deficient designs.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.