【正文】 orkset ? Review fit (plots, diagnostics, coefficients, etc.) ? Predictions ? Generate Report 1a. File New Starting a new project ? Select the data file containing the raw data of the project – directory, file type (XLS, DIF, TXT, …..), file name ? A Wizard opens (see next page) allowing you to specify (optionally) the row containing the Variable names, and (optionally) the columns with the Obs. Numbers and Names ? Here (Commands) you can also do additional things such as – transposing the input data matrix ? Use simple mode with workset wizard ? At the last Wizard page, you can (optionally) specify another name and directory for the project. ? A map of the missing data is shown ? The Wizard finishes and puts you in the Simcawindow ? A starting work set (M1, all data, all Xs, UV scaled) is ready 1b. The second screen of the Wizard 2. Looking at the data ? With the data set table open (Data set edit): ? Quick Info (both var and obs windows can be open) – variables – observations ? Moving the cursor in the data set table up and down, or sidewise, changes the displayed variable and observation ? In the quick info options you can specify what you want to look at (histograms, autocorrelations, …), as well as which items should be the basis for the plots View variables or Observations, Trim, etc. Quick Info 3. Prepare a work copy: The Workset Simple Mode with guidance, or Advanced Mode ? In Workset, you prepare a working copy of the part of the data you will analyze, ., use as the basis of your model. ? Here you specify transformation, scaling, and roles of variables (X or Y or excluded). ? Also, you select the observations (your “ training set” ). ? You can start with the previous workset (Workset / New as model xx) and then modify it, ., excluding observations. ? Whatever you do in Workset does NOT touch the raw data ? Note that outliers are just specified as “ not included” in the next workset (the “ polished” data). Outliers are NEVER removed from the raw data set. Workset: two Modes, Simple and Advanced 4. Analysis Fit the Model to the Workset Data ? Either menu “ Analysis / Autofit” or Fast Button ? A model with appropriate number of ponents is found – If nothing happens, get the two first ponents (also menu or fast button) ? A table appears showing the model, ponent by ponent. ? More ponents can be added (menu or fast button) ? Double click on a model to specify a title 5. Plot results Analysis / menu (or fast buttons) ? Summary / X/YOverview shows R2 and Q2 for all ? Scores – scatter plot, t1t2 and t1u1 amp。 t2u2 (PLS) ? Loadings – scatter plot (p1p2 fro PCA, wc1wc2 for PLS) ? Distance to Model – line plot ? Contribution plots to interpret interesting observations, . outliers, jumps, … ? For all plots, the right mouse button, properties allows choice of plot markers, and more ? The graphical tool box allows further modifications 6a. Outliers were seen in the score plot (well outside the Hotelling ellipse) ? Start another workset (either from Workset / New as model xx, or using the graphical toolbox to remove outliers from the score plot) ? Note that outliers should NOT be deleted from the data by Edit/Data set ? When the new workset is allright, return to “ 4. Analysis” to fit a new model to the new work set (fast button or Analysis/Autofit) 6b. No outliers were seen in the score plots (or they have been excluded, and the score plots now look allright) ? Now, interpret the model ? Look at “ patterns” , trends, etc., in the score plots ? Inspect the loading plots to interpret the above patterns ? Look at DModX ? What do these patterns say about the objective of the investigation? Analysis Advisor to understand and interpret model results 7. Predictions New Data, Prediction Set ? Under Predictions, specify the set of observations for which predictions will be made, the prediction set ? New data can be read in as a secondary data set (File / Import) and predictions can be made for these ? Prediction set / Complement WS, gives a prediction set with those observations that were not in the training set ? Predictions / Ypredicted, Tpredicted, etc., calculates and displays the predicted values accordingly 8. Generate the report, with customizable templates Use of these slides ? You may use any or all of these slides in your own presentations, provided that you keep (and do not modify) the Umetrics logo and web reference ? If you have any problems with the software, or with understanding of the material, please us at