In Table 2 it is possible to observe that all models were built with a maximum of 7 LV and no more than 6.2% of outliers were removed. The RE were high for extractives, ash and xylose (N19.0%). Satisfactory results of RE were found for TS and TL (≤10), as well as good RER values, above N10.0 indicating models acceptable for screening procedures. Prediction capacity of the models can be evaluated with the RPD, where values N4.4 means that the models have good prediction accuracy [21]. According Williams [31] RPD values above 9.0 indicate excellent models, what occurs for TL and TS models.