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Previous analyses of wait time to treatment within the Network for the Improvement of Addiction Treatment (NIATx) employed a conventional least-squares regression analysis and estimated rates of change in the mean of the monthly averaged outcome variables (McCarty et al.
This paper sets out to determine if partial least-squares regression (PLSR) can be used to predict CCR from MIR spectra, using subsoil samples free of organic matter.
Like classical least-squares regression analysis, quantile regression minimizes a variant of the differences between the actual and predicted values.
Incorrect least-squares regression coefficients in method-comparison analysis.
Table 1 shows the final least-squares regression result.
The results of a Poisson regression would be expected to be nearly identical to those obtained using a population-weighted least-squares regression (ongoing work confirms this).
Least-squares regression was then used to evaluate the relationship between school size ([N.
The least-squares method was used to adjust the Kelvin model parameters, and a Levenberg-Marquardt non-linear least-squares regression procedure was used to determine the creep parameters in the power model.