AU - Shahini, Amir
AU - Sarmad, Majid
TI - Partial Least Squares Regression
PT - JOURNAL ARTICLE
TA - srtc-ijoss
JN - srtc-ijoss
VO - 20
VI - 2
IP - 2
4099 - http://ijoss.srtc.ac.ir/article-1-79-en.html
4100 - http://ijoss.srtc.ac.ir/article-1-79-en.pdf
SO - srtc-ijoss 2
AB - 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.
CP - IRAN
IN -
LG - eng
PB - srtc-ijoss
PG - 289
PT - Research
YR - 2010