Stat > Regression > Partial Least Squares > Storage
You can store information from the selected model in the worksheet.
Coefficients: Check to store the coefficients. Minitab stores a column for each response.
Standardized coefficients: Check to store the standardized coefficients. Minitab stores a column for each response.
Fits: Check to store the fitted values. Minitab stores a column for each response.
Cross-validated fits: Check to store the cross-validated fitted values. Minitab stores a column for each response.
Residuals: Check to store the residuals. Minitab stores a column for each response.
Cross-validated residuals: Check to store the cross-validated residuals. Minitab stores a column for each response.
Standardized residuals: Check to store the standardized residuals. Minitab stores a column for each response.
Leverages: Check to store leverages.
Distances from X: Check to store the distances from the x-model.
Distances from Y: Check to store the distances from the y-model.
X scores: Check to store the x-scores for the predictors in a matrix.
X loadings: Check to store the loadings for predictors in a matrix.
X weights: Check to store the weights for predictors in a matrix.
X residuals: Check to store the x-residuals for the predictors. Minitab stores a column for each predictor.
X calculated: Check to store the fitted values for the predictors. Minitab stores a column for each predictor.
Y scores: Check to store the y-scores for the responses in a matrix.
Y loadings: Check to store the loadings for the responses in a matrix.
Y residuals: Check to store the y-residuals for the responses. Minitab stores a column for each response. The y-residuals are the same as the residuals for the model.
Y calculated: Check to store the y-calculated values for the responses. Minitab stores a column for each response. The y-calculated values are the same as the fitted values for the model.