Which technique is particularly useful when the measurement quality is not strong?
A)partial least squares (PLS)
B)multidimensional scaling
C)partial correlations
D)discriminant analysis

Question

Quizplus · Accepted Answer

PLS is particularly useful when the measurement quality is not strong because it can handle situations where there are many variables relative to the sample size, which is often the case in real-world data. PLS is also able to address multicollinearity and missing data issues.

Which Technique Is Particularly Useful When the Measurement Quality Is