Interface LinearModelResult

interface LinearModelResult {
    anova: {
        error: AnovaRow;
        model: AnovaRow;
        terms: LmTermRow[];
        total: AnovaRow;
    };
    coefficients: LmCoefficient[];
    columnNames: string[];
    confidence: number;
    cooksD: Float64Array;
    covariance: Matrix;
    covariateMeans: Record<string, number>;
    design: Matrix;
    factors: Record<string, string[]>;
    fitted: Float64Array;
    formula: Formula;
    keep: number[];
    leverage: Float64Array;
    means: Record<
        string,
        {
            ci?: [number, number];
            fittedMean: number;
            level: string;
            mean: number;
            n: number;
            se: number;
        }[],
    >;
    n: number;
    omitted: number[];
    press: number;
    r2: number;
    r2adj: number;
    r2pred: number;
    residuals: Float64Array;
    s: number;
    standardizedResiduals: Float64Array;
    test: "general linear model";
    unusual: {
        fitted: number;
        flags: string;
        index: number;
        residual: number;
        stdResidual: number;
        y: number;
    }[];
    y: Float64Array;
}