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Stand basal area was positively and consistently related to dead fuel biomass in most groups and was present in many predictive equations.
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Predictive equations were applied to the subjects to compute predicted strength values.
We tested the correlations between measured VO2 and VO2 predicted by linear regression equation to validate previously proposed predictive equations, and the same was done for VO2 reserve.
Simple predictive equations of shoulder mechanical loading are provided.
The predictive equations were calibrated by using the literature database.
Linear regression techniques were used to create predictive equations using diameter at breast height (DBH) as the primary predictive variable.
From one intra-state, we may be able to obtain as many predictive states as desired.
All predictive equations were accurate in less than 50%% of the patients with an RMSE ≥ 15%%.
When IC is unavailable, EE can be calculated by predictive equations or by VCO2-based calorimetry.
The EE VCO2) was accurate in 89 % of the patients, significantly better than the predictive equations.
The results corroborate the previously reported [6, 15] inaccuracy of predictive equations for EE.
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