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1 README SAS/STAT® 9.1 Experimental QUANTREG Procedure for Windows Overview The QUANTREG procedure performs quantile regression. Ordinary least-squares regression models the relationship between one or more covariates X and the conditional mean of the response variable Y given X=x. Quantile regression extends the regression model to conditional quantiles of the response variable, such as the 90th percentile. Quantile regression is particularly useful when the rate of change in the conditional quantile, expressed by the regression coefficients, depends on the quantile. The main advantage of quantile regression over least-squares regression is its flexibility for modeling data with heterogeneous conditional distributions. Data of this type occur in many fields, including biomedicine, econometrics, and ecology. The QUANTREG procedure is available only by download. For documentation, see http://www.sas.com/statistics/doc.html. Note that the QUANTREG procedure installation requires a local standalone installation of SAS (whether installed through a network install or a local install). System Requirements Software Requirements SAS 9.1, or a later version, running on a SAS-supported 32-bit Windows operating system. Base SAS and SAS/STAT must be included in the SAS installation. Hardware Requirements Machines Supported A PC with an Intel Pentium family processor is required. Pentium-compatible processors are also acceptable. A clock speed of 233 MHz or higher is recommended.
Transcript of Sas
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README
SAS/STAT® 9.1 Experimental QUANTREG Procedure for Windows
Overview The QUANTREG procedure performs quantile regression. Ordinary least-squares regression models the relationship between one or more covariates X and the conditional mean of the response variable Y given X=x. Quantile regression extends the regression model to conditional quantiles of the response variable, such as the 90th percentile. Quantile regression is particularly useful when the rate of change in the conditional quantile, expressed by the regression coefficients, depends on the quantile. The main advantage of quantile regression over least-squares regression is its flexibility for modeling data with heterogeneous conditional distributions. Data of this type occur in many fields, including biomedicine, econometrics, and ecology.
The QUANTREG procedure is available only by download. For documentation, see http://www.sas.com/statistics/doc.html.
Note that the QUANTREG procedure installation requires a local standalone installation of SAS (whether installed through a network install or a local install).
System Requirements
Software Requirements SAS 9.1, or a later version, running on a SAS-supported 32-bit Windows operating system. Base SAS and SAS/STAT must be included in the SAS installation.
Hardware Requirements
Machines Supported A PC with an Intel Pentium family processor is required. Pentium-compatible processors are also acceptable. A clock speed of 233 MHz or higher is recommended.
SAS and all other SAS Institute product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. Other brand and product names are registered trademarks or trademarks of their respective companies. indicates USA registration. Copyright 2005 SAS Institute Inc. Cary, NC, USA. All rights reserved.
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10 March 2005
Memory A minimum of 64MB RAM is required; 128MB RAM or more is recommended.
Hard Disk Requirements Download file size: 1.6 MB
Free space required to install: 2.5 MB
Space used after installation: 1.1 MB
Installation Instructions 1. If you have not already done so, install SAS according to the Installation Instructions shipped
with the SAS media.
2. Ensure that you have sufficient disk space. The QUANTREG procedure requires approximately 5MB of disk space during installation.
3. After you have downloaded the file from the Web page, double-click on SASQUANTREG.exe to start the installation process.
Using the Software To use the QUANTREG procedure, simply execute it as you would any other procedure in SAS/STAT software.
