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Note: Product H with various amounts of ingredients added; dependent variable is intensity of flavor.

"Beyond 20 variables, the SAS stepwise regression program became quite costly (52 variables available here). Normally, a limitation on the number of steps would be specified. Actually, Step 3 was the last step where all the variables entered had probabilities < 0.05.

Note: Product H with various amounts of ingredients added; dependent variable is intensity of flavor.

"Beyond 20 variables, the SAS stepwise regression program became quite costly (52 variables available here). Normally, a limitation on the number of steps would be specified. Actually, Step 3 was the last step where all the variables entered had probabilities < 0.05.

interpose their judgments into the process to obtain a formula that fits the task. In fact, in every case the analyst should examine the variables selected to be sure to have an equation that preferably is related to sensory quality.

There is a parallel to the matter of accepting a secondary equation. Sometimes an equation extending over the whole range of samples fails to discriminate well somewhere along the range. By calculating an equation for the part of the range giving trouble, the second equation permits the samples to then be readily separated. An illustration of that procedure to make product resolution tractable has been given (25). Being able to do that is one of the benefits of having analyzed sufficient samples to know where the problems are and having the information at hand to overcome the problem.

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