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Clipping paths are often used in layout programs to clip parts of an image so that unwanted parts do not print. However, if you have drawn a path and tried to define it as a clipping path, you might have noticed that the Clipping Path option is grayed out. That s because the path needs to be saved before it can be defined as a clipping path. To save a clipping path, take the following steps: 1. Double-click the Work Path tile. 2. Name the path in the Save Path pop-up dialog box and then click the OK button. 3. Choose Clipping Path from the Paths palette menu. The path should be selected for you in the Clipping Path dialog box. Leave the Flatness text field blank (see the paragraph that follows) and click the OK button. When you save a clipping path, the flatness value that you enter in the Clipping Path dialog box controls how faithfully the clipping path s curve will be reproduced by the RIP (Raster Image Processor). If you enter a lower flatness value, it translates into a more accurate curve because a greater number of straight lines are used to draw the curve; a higher flatness value translates into a less faithful curve because fewer straight lines are used to draw the curve. Generally speaking, flatness values from 8 to 10 are recommended for high-resolution printing (1200 to 2400 dpi) and values from 1 to 3 for low-resolution printing (300 to 600 dpi). If you are not sure what value to enter, leave the field blank and let the printer use a default value.

1. To open the Swatches panel, where you create, modify, and apply colors, choose Window Swatches or press F5. 2. From the flyout menu, choose New Color Swatch to open the New Color Swatch dialog box shown in Figure QS.12. 3. From the Color Mode pop-up menu, choose Pantone Solid Uncoated and then type 1675 in the field after labeled Pantone. Now click OK. This adds the premixed ink Pantone 1675U to the Swatches panel, to be printed as a spot color (separate ink). Note that if you want to create more colors, click Add instead. Click OK only when you want to close the dialog box.

6. Click OK. A dialog box appears (see Figure 26.33). 7. Confirm that the correct operation is being used. The dialog box should already be filled out correctly, but if necessary, you can select the MagazineList service and getAllMagazines operation (see Figure 26.34). 8. Flash Builder will want to automatically assign the data to a label, but click in the drop-down and select the empty option. This enables you to use a custom component to display the data. 9. Click OK.

0 as t -+ f o o was used. By an analogous procedure,

n Choose how far away from the frame that the glow begins to dissipate by entering a value in the Spread field. A value of 0 starts the fade immediately. n Choose the width of the glow in the Size field. n Add visual noise to the shadow, making it less smooth as the value increases, by entering a value in the Noise field or choosing a value from the pop-up menu.

2. 3.

After you ve inserted your Shockwave file, you re ready to begin entering the specific parameters in the Property inspector. The Property inspector takes care of all but one Shockwave attribute, the palette parameter. Some of the information, including the ActiveX Class ID, is automatically set in the Property inspector when you insert the movie.

4. Click OK to accept the new port settings. 5. When prompted, enter your administrative password again to restart both servers.

Voiceover Recording under the clips (see figure 6.16).

x1 (0, 1, 0, 0, 0, 0) q4 y1 (0, 0, 1, 0, 0, 0) q 3 x2 (0, 0, 1, 1, 0, 0) q8 y2 (0, 0, 0, 0, 1, 1) q 6 x3 (0, 0, 1, 1, 1, 0) q 27 x1 x2 (0, 1, 1, 1, 0, 0) q 28 y1 y2 (0, 0, 1, 0, 1, 1) q 35 y3 (0, 0, 0, 0, 0, 1) q 0

One very nice characteristic of best-fit lines (and linear regression models in general) is that they preserve averages. The average of the expected values of the original data is the same as the average of the observed values. Geometrically, this implies that all best-fit lines go through a particular point. This point is the average of the X-values and the average of the Y-values of the data used to build the model. In practical terms, best-fit lines preserve some key characteristics of the data used to build them. Applying the model does not move the center of the data. So, taking the average of a large number of expected values (such as for all customers) is usually a fairly accurate estimate of the average of the actual values, even if the individual estimates are different.