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Partial least squares (PLS) is a method for constructing predictive models when the factors there are many factors and they are highly collinear. It is useful for variable selection and dimension reduction
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Partial least square regression can help to establish a model to predict the amounts of three compounds from v1-v27
To Perform the Analysis
- Activate Sheet1 in Book1. Select Statistics: Multivariate Analysis: Partial Least Square to open the Partial Least Square dialog
- In the opened dialog, set column v1 ~ v27 as Independent Variables, column ls, ha, dt as Dependent Variables and set other settings as image below. And click OK button
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