37105 - Program editor window banner indicates "PROC .. running"- Usage Note

The ANOVA, ARIMA, CATMOD, FACTEX, GLM, MODEL, OPTEX, PLAN, and REG procedures are interactive procedures. They remain active after processing a RUN statement. The "running" message in the banner of the program editor **...**

15179 - Executing the SYSTEM function and X Command via the SAS® Stored Process Server- Usage Note

When running the SAS® Stored Process Server, the XCMD
option is turned
off by default. So, by default you will not be able to use the SYSTEM
function, the X command, or the PIPE option on a
FILENAME statement.
In **...**

32394 - Installing and Storing Updated Tagsets for ODS MARKUP- Usage Note

This example shows how to install an updated ExcelXP tagset for SAS and Microsoft Excel. However, this information applies to any tagset.

23442 - How can I view the source code for an ODS template?- Usage Note

There are a couple of ways to view the contents of
a template, interactively and with SAS statements:
In the Results window, right-mouse-click on the
Results icon. Select Templates. Select the
template store **...**

PROC LIFEREG and PROC RELIABILITY fail to save the scale parameter when generating an item store, leading to some incorrect results in PROC PLM.

58234 - The OUT= data set in PROC PANEL might contain incorrect predicted and residual values- Problem Note

In the OUT= output data set from PROC PANEL, certain predicted and residual values might be incorrect.

60623 - PROC TIMEID returns the "Recursive Segmentation Violations" error when run in some European language locales- Problem Note

If you run PROC TIMEID with the French, German, Italian, Polish, or Spanish language environment on a data set that contains multiple observations with the same value of the ID variable, SAS® stops processing and **...**

60862 - PROC EXPAND returns a Segmentation Violation error when run in some European language locales- Problem Note

PROC EXPAND might stop processing when the FROM= option is specified in the French, German, Italian, Polish, or Spanish language environment.

59917 - Lagakos and deviance residuals are incorrect for left-censored observations in PROC ICPHREG- Problem Note

PROC ICPHREG reports incorrect Lagakos and deviance residuals for left-censored observations.

58137 - The SURVEYMEANS procedure incorrectly issues ERROR: No valid observations- Problem Note

PROC SURVEYMEANS issues

Specifying the RESTRICT statement and the OPTIMIZE option in the SOLVE statement might cause an error in PROC MODEL for some model equations.

23137 - Understanding the effect of adding a variable in the CLASS statement- Usage Note

In modeling procedures, the CLASS statement is used to indicate which variables in the model are categorical variables. Such a variable is then treated as a nominal (unordered) categorical predictor variable. A set of **...**

24191 - Nonparametric regression model equation to produce predicted values for a new data set- Usage Note

Nonparametric models can be fit via the GAM, GAMPL, LOESS, and TPSPLINE procedures. Nonparametric models cannot be represented with a simple equation as can regression and linear models from such parametric modeling **...**

8504 - ERROR: There seems to be a problem in the WITHINSUBJECT effect data- Usage Note

When specifying the REPEATED statement including the WITHINSUBJECT= (or
WITHIN=) option, if any subject has two or more observations having the
same value of the WITHINSUBJECT= effect, then the following error
message **...**

22590 - Obtaining standardized regression coefficients in PROC GLM- Usage Note

PROC GLM does not have an option, like the STB option in PROC REG, to compute standardized parameter estimates. However, beginning with SAS 9.1 you can obtain standardized estimates using the STB option in PROC **...**

14666 - Controlling time-outs for SAS®9 spawned servers under z/OS- Usage Note

Time-outs in SAS® spawned servers, especially the SAS® Workspace Server and SAS/CONNECT® Servers, are controlled by the JWT value that is set in the SMFPRMxx member of SYS1.PARMLIB.
For example, if the JWT value is **...**

24983 - Macro to test multivariate normality- Sample

The %MULTNORM macro provides tests and plots of univariate and multivariate normality.

37228 - Estimating differences in probabilities with confidence interval- Usage Note

Since the log odds (also called the logit) is the response function in a logistic model, such models enable you to estimate the log odds for populations in the data. A population is a setting of the model predictors. **...**

33307 - Scoring (computing predicted values) for new observations or a validation data set- Usage Note

Methods for applying previously-fitted models to new data are discussed including the computation of predicted values.

33390 - Computing marginal effects at the mean or median of the explanatory variables in PROC QLIM- Usage Note

You can compute marginal effects at the mean or median of the explanatory variables by appending observations to the end of the input data set and refitting the model. In the new observations, set the explanatory **...**

24986 - All-possible-regressions selection based on PRESS or other statistics- Sample

Provide all-possible-regressions model-selection based on the SELECTION=
RSQUARE, ADJRSQ, and CP and display any of the following model
statistics:
<dl><dd><br>_CP_ _PRESS_ _RMSE_ _MSE_ _RSQ_ _ADJRSQ_ _AIC_ _BIC_ _ **...**

Beginning with SAS/STAT® 12.3 in SAS® 9.4 TS1M0, use the GROUPS= option in the PROC SURVEYSELECT statement as discussed and illustrated in this note.
Prior to SAS/STAT 12.3, use the OUTALL option in the PROC **...**

30778 - Analysis of repeated events or multivariate failure time data with PROC PHREG- Usage Note

This note discusses sources of information regarding the analysis of multivariate failure time data.

32304 - Missing predicted values when scoring new data using a fitted model- Usage Note

SAS® modeling procedures provide several ways for scoring new observations using a fitted model as described in this note. When scoring new data, the predicted value for an observation will be missingNote1 if any of **...**

57431 - Large number of milestones with parent resources might cause an overcommitment of resources in PROC CPM- Problem Note

If the RESOURCEOUT= Usage data set in PROC CPM contains a negative value in the variable with the prefix A, the resource has been incorrectly overcommitted.