TY - JOUR
T1 - Partial Least Squares Regression
TT - رگرسیون کمترین توانهای دوم
JF - srtc-ijoss
JO - srtc-ijoss
VL - 20
IS - 2
UR - http://ijoss.srtc.ac.ir/article-1-79-en.html
Y1 - 2010
SP - 289
EP - 304
KW - Cross validation
KW - prediction
KW - multicollinearity
KW - component
KW - PLS
N2 - In different researches, we deal with problems that need to predict the behavior of a response variable by a set of explanatory variables. Multiple regression is one of the statistical methods that is widely used in these type of situations. When there is a linear relation between explanatory variables we will faced with multi-collinearity problem that causes ordinary least squares estimators of regression coefficients not to be robust. Partial least squares regression is a multivariate method that used when there is high collinearity between explanatory variables. In this paper, this method is introduced.
M3
ER -