Influencing Factors of Pine Wood Milling Force Based on Principal Component Analysis and Multiple Linear Regression.

An analysis of these prediction plots and the MLR coefficients in Table 9 reveals the following insights about the principal components: PC1 (Process Intensity Factor) had the largest, and highly significant ( p < 0.001) positive regression coefficient in all three models ( β PC1 : F x = 0.267, F y = 0.266, and F z = 0.218).

also in 132,142 other papers

The distribution of sample points shows a clear trend of increasing dispersion along the cutting depth vector as the PC1 score increases.

also in 19,460 other papers