The objective of this work was to use a multivariate statistical method as an alternative to estimate
the green biomass of the main bamboo rod,
Bambusa vulgaris
Schrad. i.e.: J.C. Wendl., in the presence of
multicollinearity. The data came from an experiment carried out for the Agroindustrial Excelsior S. A.
(Agrimex) company located in the city of Goiana - PE. Quantified by their green biomass weight, 450
bamboo rods were used and 4 independent variables measured in the rod. Initially, the presence of the
multicollinearity could be verified through the correlation matrix of the independent variables and the
varience inflation factors, the alternative used was the regression of the principal components based on the
covariate matrix. The result indicates that, when there is an interpretation to the main components, the model
shows a satisfactory data adjust, and it could be used to estimate the green biomass of the main bamboo rod.