Multiple linear regression and principal

In a general way, we can state that the projection of a pattern of points on an axis produces a point which is imaged in the dual space. The matrix-to-vector product can thus be seen as a device for passing from one space to another. This property of swapping between spaces provides a geometrical interpretation of many procedures in data analysis such as multiple linear regression and principal components analysis, among many others [12] (see Chapters 10 and 17). 

Ordinary Multiple Linear Regression and Principal Components Regression... 

Hemmateenejad, B., Miri, R., Jafarpour, M., Tabarzad, M. and Foroumadi, A. (2006) Multiple linear regression and principal component analysis-based prediction of the anti-tuberculosis... 

Ordinary Multiple Linear Regression and Principal Components Regression (a) (b) PCi (c) PC2... 

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