A proximate analysis by using multiple linear regressions was used for the first time to analyze torrefied Pinus taeda L. pellets. The result, obtained from three fitted equations: HHV = 0.3921 × FC + 0.1578 × VM (statistical R² = 99.91%), FC = 39.4886 – 0.1042×T – 0.5640×t + 0.0027×(T × t) (statistical R² = 75.05%), and VM = 0.3402×T + 1.4262×t – 0.0061×(T × t) (statistical R² = 99.75%), indicated that the torrefaction of the pellets increased their high heating value (HHV) and fixed carbon (FC) and decreased the volatile matters (VM). These equations fitted the results better than equations published elsewhere.

首次使用多元线性回归进行近邻分析，以分析焙炒的松材油松球团。从三个拟合方程获得的结果：HHV = 0.3921×FC + 0.1578×VM（统计R ² = 99.91％），FC = 39.4886 – 0.1042× T – 0.5640× t  + 0.0027×（T  ×  t）（统计R ² = 75.05％），VM = 0.3402× T  + 1.4262× t – 0.0061×（T  ×  t）（统计R ²= 99.75％），表明颗粒的焙烧提高了其高热值（HHV）和固定碳（FC）并减少了挥发性物质（VM）。这些方程比其他地方发布的方程更适合结果。