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A class of linear methods for modeling the relationship between two groups of variables, X and Y. Includes PLS regression.
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PLS with more variables than data points
You can do PLS in your situation. As usual just cross-validate the number of components you need. Also be careful with very high $R^2$ values (say higher than 0.9), they might indicate that you are ov …
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Problem with Principal component (PCA) and Partial least squares (PLS) using R
Firstly: it can be that the results of PCA and PLS are different, since they have a different objective function. Especially if the covariance between $X$ and $Y$ is near zero, the PLS solution is not …