summary.bfsl

An object of class "<code>bfsl</code>".

object

Further arguments passed to <code>summary.default</code>.

<code>summary</code> method for class <code>"bfsl"</code>.

How to fit a straight line through a set of points with errors in
both coordinates? The 'bfsl' package implements the York regression
(York, 2004 <doi:10.1119/1.1632486>). It provides unbiased estimates of the
intercept, slope and standard errors for the best-fit straight line to
independent points with (possibly correlated) normally distributed errors in
both x and y. Other commonly used errors-in-variables methods, such as
orthogonal distance regression, geometric mean regression or Deming regression
are special cases of the 'bfsl' solution.

summary.bfsl: Summary Method for bfsl Results

Description

Usage

Arguments