confidence
confidence: number
errorVarianceRatio
errorVarianceRatio: number
fitted
fitted: Float64Array
intercept
intercept: {
ci: [number, number];
estimate: number;
pValue: number;
se: number;
z: number;
}
interceptEqualsZero
interceptEqualsZero: { pValue: number; z: number }
n
n: number
residuals
residuals: Float64Array
slope
slope: {
ci: [number, number];
estimate: number;
pValue: number;
se: number;
z: number;
}
slopeEqualsOne
slopeEqualsOne: { pValue: number; z: number }
sse
sse: number
test
test: "orthogonal regression"
Ratio of error variances Var(ε_y) / Var(ε_x) used in the fit.