coefficient of partial determination minitab
Model fitting Minitab uses the nonlinear iterative partial least squares NIPALS algorithm developed by Herman Wold 1 to solve problems associated with ill-conditioned data. The scientist uses the remaining 6 samples as a test data set to evaluate the predictive ability of the model. When you fit a PLS model, you can perform cross-validation to help you determine the optimal number of components in the model. Obtain the scatter plot matrix. Model Selection and Validation for Aroma.
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