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It documents improvements and new capabilities, including enhanced model specification via recoding with reference categories, centring, and polynomials, plus support for updated interactions. The supplement also covers out-of-sample predictions, customized prediction windows, and plotting and 3D graphics. It further details model comparison tables and methods for estimating autocorrelated errors in continuous time, with tools for saving and retrieving external work files and zipped MLwiN worksheets.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/manual-supplement-for-mlwin-version-318-introduction/501858/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/manual-supplement-for-mlwin-version-318-introduction/501858.png","ImageObject",300,407,{"name":92,"@type":93},"ahduag","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-16","2026-10-03",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What key model-specification improvements are introduced in MLwiN Version 3.18?","Question",{"text":112,"@type":113},"The supplement describes improved recoding behavior for reference categories, centring, and polynomials, including automatic updates to interactions when these settings change.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the document support out-of-sample predictions?",{"text":117,"@type":113},"It covers procedures for continuous, binomial, multinomial, Poisson, and multivariate models, including setting prediction values and building customised predictions with commands and plotting.",{"name":119,"@type":110,"acceptedAnswer":120},"What additional capabilities are included beyond prediction and model specification?",{"text":121,"@type":113},"The manual supplement includes 3D graphics, creation of model comparison tables, a method for autocorrelated errors in continuous time, and options for saving/retrieving external work files and zipped MLwiN worksheets.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},501858,1791445179,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},3985747870414,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Manual supplement for MLwiN  \nVersion 3.18  \nJon Rasbash Chris Charlton Kelvyn Jones Rebecca Pillinger  \nJuly 2026  \nii  \nManual supplement for MLwiN Version 3.18  \nCopyright © 2026 Jon Rasbash, Chris Charlton, Kelvyn Jones and Rebecca Pillinger. All rights reserved.  \nNo part of this document may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, for any purpose other than the owner’s personal use, without the prior written permission of one of the copyright holders.  \nISBN: 978-0-903024-98-3 Printed in the United Kingdom First Printing September 2008 .  \nUpdated for University of Bristol, October 2009, September 2012, August 2014, March 2016, March 2017, May 2017, February 2019, June 2019, July 2023, October 2024, October 2025 and July 2026 .  \nContents  \nTable of Contents iv  \nIntroduction v  \nNew Features .............................. v  \nAcknowledgements ........................... v  \n1 Improved model specification functionality 1  \n1.1 Recoding: reference categories, centring, and polynomials ... 1  \n1.2 Orthogonal Polynomials ..................... 4  \n1.2.1 Orthogonal Polynomials ................. 4  \n1.2.2 Using orthogonal polynomials with repeated measures data ............................ 10  \n1.3 Commands ............................ 15  \n2 Out of Sample predictions 19  \n2.1 Continuous responses ....................... 19  \n2.1.1 Setting values as a range ................. 22  \n2.1.2 Specification using the Values tab ............ 26  \n2.1.3 Specification using the Percentiles tab ......... 26  \n2.1.4 Specification using the Nested Means tab ........ 27  \n2.1.5 Specifying values for categorical variables ........ 28  \n2.1.6 Commands for building customised predictions for Normal response models ................... 32  \n2.1.7 Commands for plotting customised predictions ..... 34  \n2.2 Binomial models ......................... 35  \n2.2.1 Predicting mean and median ............... 35  \n2.2.2 Predictions for more complex Binomial response models 40  \n2.2.3 Log Odds ratios ...................... 42  \n2.2.4 Customised prediction commands for discrete response models ........................... 43  \n2.3 Multinomial models ........................ 44  \n2.3.1 Unordered Multinomial Models ............. 44  \n2.3.2 Ordered Multinomial ................... 52  \n2.4 Poisson models .......................... 55  \n2.5 Multivariate models ........................ 57  \n3 3D Graphics 61  \n4 Model Comparison Tables 69  \niv CONTENTS  \n5 A new method for estimating autocorrelated errors in continuous time 77  \n6 Saving and retrieving of Minitab, Stata and SPSS work files 83  \n7 Zipped MLwiN worksheets 85  \n8 Other new features 87  \n8.1 Window tabs ........................... 87  \n8.2 The Names window ........................ 87  \n8.2.1 Column buttons ...................... 88  \n8.2.2 Data buttons ....................... 88  \n8.2.3 Categorical variables ................... 89  \n8.2.4 New commands ...................... 92  \n8.3 New data manipulation windows and commands ........ 93  \n8.3.1 Combining categorical columns ............. 93  \n8.3.2 Finding unique codes ................... 93  \n8.3.3 Creating numeric grids .................. 94  \n8.3.4 Recoding variables with short sequences of codes ... 94  \n8.3.5 Unvectorising data .................... 95  \n8.4 Macro Programming ....................... 97  \n8.4.1 Executing models from macros .............. 97  \n8.4.2 Other New Commands .................. 99  \n8.5 Invoking MLwiN from a command line (or other packages) .. 100  \nAppendices  \nA Algorithm used for producing predicted means and intervals 105  \nA.1 Normal response models ..................... 105  \nA.1.1 Predictions and confidence intervals for differences ... 106  \nA.2 Binomial models ......................... 107  \nA.2.1 Median (Cluster specific) ................. 107  \nA.2.2 Mean (Population average) ................ 108  \nA.3 Unordered Multinomial ...................... 1","cbCaipqAskCl1Wgt","https://ap.wps.com/l/cbCaipqAskCl1Wgt","pdf",1912866,130,"English","# Introduction\n## New Features\n## Acknowledgements\n# Improved model specification functionality\n## Recoding: reference categories, centring, and polynomials\n## Orthogonal Polynomials\n## Commands\n# Out of Sample predictions\n## Continuous responses\n## Binomial models\n## Multinomial models\n## Poisson models\n## Multivariate models\n# 3D Graphics\n# Model Comparison Tables\n# A new method for estimating autocorrelated errors in continuous time\n# Saving and retrieving work files\n# Zipped MLwiN worksheets\n# Other new features\n## Window tabs\n## The Names window\n## Macro Programming\n## Invoking MLwiN from a command line","[{\"question\":\"What key model-specification improvements are introduced in MLwiN Version 3.18?\",\"answer\":\"The supplement describes improved recoding behavior for reference categories, centring, and polynomials, including automatic updates to interactions when these settings change.\"},{\"question\":\"How does the document support out-of-sample predictions?\",\"answer\":\"It covers procedures for continuous, binomial, multinomial, Poisson, and multivariate models, including setting prediction values and building customised predictions with commands and plotting.\"},{\"question\":\"What additional capabilities are included beyond prediction and model specification?\",\"answer\":\"The manual supplement includes 3D graphics, creation of model comparison tables, a method for autocorrelated errors in continuous time, and options for saving/retrieving external work files and zipped MLwiN worksheets.\"}]","Manual supplement for MLwiN - Version 3.18 - Introduction | PDF",1791025805,328]