ppwdeming: Precision Profile Weighted Deming Regression
Weighted Deming regression, also known as "errors-in-variable" 
    regression, is applied with suitable weights. Weights are modeled via a 
    precision profile; functions are provided for implementing it in both known 
    and unknown precision profile situations. The package provides tools for 
    precision profile weighted Deming (PWD) regression. 
    It covers two settings – one where the precision profiles are known either 
    from external studies or from adequate replication of the X and Y readings, 
    and one in which there is a plausible functional form for the precision 
    profiles but the exact function must be estimated from the (generally 
    singlicate) readings. 
    The function set includes tools for: estimated standard errors (via 
    jackknifing); standardized-residual analysis function with regression 
    diagnostic tools for normality, linearity and constant variance; and an 
    outlier analysis identifying significant outliers for closer investigation.
    Further information on mathematical derivations and applications can be 
    found on arXiv: Hawkins and Kraker (2025) <doi:10.48550/arXiv.2508.02888>.
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