This is a report of the design, factor, and response information.

**File Version**: Software version last used to save this file.

**Type**: The tab (**Study**) and node (**Design**) used to create the original
design. Design also includes the exchange algorithm used to build optimal designs.

**Design Model**: The model the design was originally created to estimate.

**Center Points**: The number of center points in a factorial design.

**Runs**: The current number of rows (runs) in the experiment

**Blocks**: The current number of blocks in the experiment.

**Component/Factor**: Indicator letter for each factor

**Name**: Descriptive name for each factor.

**Units**: The units of measurement.

**Type**: The type of variable (Mixture, Numeric, Categoric)

**Subtype**: For numeric factors this can be continuous or discrete.

**Minimum**: The lowest value actually used in the experiment for each factor.
For categoric factors this is the first level entered.

**Maximum**: The highest value actually used in the experiment for each factor. For
categoric factors this is the last level entered.

**Low Actual**: The lower bound for the experiment’s area of interest for each
factor. For mixture components this is an absolute lower bound.

**High Actual**: The upper bound for the experiment’s area of interest for each
factor. For mixture components this is a absolute upper bound.

**Low Coded**: The coded value corresponding with the Low Actual setting used by the
math engine to perform the analysis.

**High Coded**: The coded value corresponding with the High Actual setting used by
the math engine to perform the analysis.

**Mean**: The average factor setting in this design.

**Std. Dev**: The standard deviation of the numeric factor settings.

**Response**: Place holder for each response R[i]

**Name**: Descriptive name for each response.

**Units**: Units of measure for each response.

**Obs**: Number of entries (observations) for each response.

**Analysis**: The type of model contrasts being used. See Design Model above.

**Minimum**: The smallest observation each response.

**Maximum**: The largest observation for each response.

**Mean**: The average of each response.

**Std. Dev**: The standard deviation for each response.

**Ratio**: Maximum divided by Minimum.

**Trans**: The Transform applied during analysis.

**Model**: The order of the model being fit by the analysis.