Odor concentration estimation using the principal component regression ; in the grow to finish swine pen

In this study, a odor concentration estimation model in the grow to finish swine pen was derived using principal component analysis and multiple regression models. 14 kinds of compounds were used. Prior statistical analysis, missing value (less than MDL)for each imputed with MDL/2, unit log-transformed follow normal distribution. The three components extracted through explained for 77.03% initial variables. correlation between Principal evaluated by loading value. PC1 correlated VOC (10 Type), PC2 sulfur (3 PC3 ammonia hydrogen sulfide. A PC1, PC2, as independent As result, coefficient statistically significant (p < 0.05), but adjusted R2 (0.25) low.