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 
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{
  "test_name": "DFFITS (Python - statsmodels)",
  "dataset": "lh",
  "formula": "time ~ value",
  "dffits": [
    -0.2661639781615754,
    -0.2540561550249445,
    -0.2420566863885289,
    -0.22454915447957413,
    -0.21682124066125785,
    -0.24527751081579058,
    -0.18845513377039955,
    -0.17676977684947387,
    -0.18486818273627043,
    -0.1535124931317769,
    -0.14059692056627332,
    -0.12138339487113928,
    -0.11516326932296697,
    -0.09050207681403305,
    -0.33659107301973384,
    -0.31523669231714235,
    -0.1268315576093414,
    -0.05618489198204223,
    -0.044471011719492984,
    -0.004010185370588369,
    0.011081105107557377,
    0.04304515260685344,
    -0.05076803047771184,
    -0.09322234179227017,
    0.014977172209276322,
    0.06708918260245915,
    0.08087128117490337,
    -0.011081105107557356,
    0.004010185370588362,
    0.03716650950833721,
    0.049746772990776324,
    0.09321377706764207,
    0.07968079232348275,
    0.10441508012118521,
    0.26386805631782984,
    0.3274833113144886,
    0.46269598407206414,
    0.5580771217977846,
    0.21789746633555826,
    0.17696690538364918,
    0.19404975980197353,
    0.2212928129211398,
    0.2339549479208097,
    0.21210139228895383,
    0.2993471880372081,
    0.32384822754635206,
    0.29618002942621113,
    0.29784291103722543
  ],
  "n": 48,
  "p": 2,
  "threshold": 0.408248290463863,
  "influential_observations": [
    37,
    38
  ],
  "description": "Measures influence of each observation on its fitted value."
}