residuals_o: The orthogonal residuals

In onls: Orthogonal Nonlinear Least-Squares Regression

The orthogonal residuals

Description

Returns a vector of the fitted, precision-weighted orthogonal distances \hat d_i from the fitted onls model, in the original observation order – the same per-observation quantities that are squared and summed by deviance_o. See 'Details' for what \hat d_i represents in general; a single-predictor, unweighted fit is a special case where this reduces to plain Euclidean distance.

Usage

residuals_o(object) 

Arguments

object

an object returned from onls.

Details

\hat d_i is the fitted, precision-weighted orthogonal distance of observation i (see 'Details' in onls for its full definition and the construction of Qyy_i, Qx_i from weights, sigma_x, and sigma_y); it reduces to plain Euclidean distance only for a single-predictor, unweighted fit. Values are returned in the original observation order regardless of the number of predictors, and any rows omitted via na.action are correctly reinserted as NA (via napredict) at their original positions.

Value

A vector of the fitted orthogonal (precision-weighted) distances.

Author(s)

Andrej-Nikolai Spiess

Examples

## See 'onls'.

onls documentation built on Sept. 21, 2026, 9:06 a.m.