linreg-core 0.8.1

Lightweight regression library (OLS, Ridge, Lasso, Elastic Net, WLS, LOESS, Polynomial) with 14 diagnostic tests, cross validation, and prediction intervals. Pure Rust - no external math dependencies. WASM, Python, FFI, and Excel XLL bindings.
Documentation
{
  "test_name": "DFFITS (Python - statsmodels)",
  "dataset": "ToothGrowth",
  "formula": "len ~ supp + dose",
  "dffits": [
    -0.36085181146017625,
    0.059137343738779484,
    -0.17920320884708052,
    -0.2660517710904035,
    -0.23111761549187193,
    -0.02567904769533132,
    0.04216000923365364,
    0.04216000923365364,
    -0.3012963289847145,
    -0.19645015206543862,
    0.05245573339342409,
    0.05245573339342409,
    -0.0061282923091904515,
    0.08862253320736993,
    0.3313690886115274,
    0.08862253320736993,
    -0.07830689057148604,
    -0.03766739977392915,
    0.15696134129452052,
    0.007382934582229758,
    -0.09420017174566875,
    -0.42381622495500587,
    0.5759143595005275,
    0.025121029153849932,
    0.08165819253691026,
    0.4781763939904116,
    0.10054296954848477,
    -0.22738922483740442,
    -0.11310327126723217,
    0.27891715109582904,
    0.05913734373877957,
    0.4272474166733632,
    0.19595662809589456,
    -0.2543747574548504,
    0.01954104083705223,
    -0.23692029503157866,
    -0.3428682173272234,
    -0.2719031022338632,
    0.13295824310100351,
    -0.2543747574548504,
    0.0299079599309322,
    0.19382714817987282,
    0.20774844122073594,
    0.3411500897527575,
    0.04343279460584808,
    0.2831052542750734,
    0.3119399643998229,
    0.09768857324950908,
    -0.20645331841799802,
    0.3857632306649144,
    -0.20821037020418592,
    -0.15101122337532602,
    -0.4103896622005018,
    -0.2724062538140129,
    -0.2530645019383693,
    0.13208359313951307,
    -0.15101122337532602,
    -0.09420017174566873,
    0.037674275108853406,
    -0.3704381190888158
  ],
  "n": 60,
  "p": 3,
  "threshold": 0.4472135954999579,
  "influential_observations": [
    23,
    26
  ],
  "description": "Measures influence of each observation on its fitted value."
}