topic Inquiry regarding the procedure for PLS Discriminant Analysis (PLS-DA) in Discussions https://community.jmp.com/t5/Discussions/Inquiry-regarding-the-procedure-for-PLS-Discriminant-Analysis/m-p/944066#M109604 <P data-path-to-node="7"><STRONG data-index-in-node="0" data-path-to-node="7">[Environment]</STRONG></P> <UL data-path-to-node="8"> <LI> <P data-path-to-node="8,0,0"><STRONG data-index-in-node="0" data-path-to-node="8,0,0">Version:</STRONG> JMP(r) Student Edition 19.1.0 (914688)</P> </LI> <LI> <P data-path-to-node="8,1,0"><STRONG data-index-in-node="0" data-path-to-node="8,1,0">License:</STRONG> For Academic Use Only (Expires: 2027/04/13)</P> </LI> <LI> <P data-path-to-node="8,2,0"><STRONG data-index-in-node="0" data-path-to-node="8,2,0">OS:</STRONG> Microsoft Windows 11 Home (10.0.26200.0)</P> </LI> </UL> <P><STRONG data-index-in-node="0" data-path-to-node="11"><BR />[Inquiry] Regarding the procedure for performing PLS Discriminant Analysis (PLS-DA)</STRONG> <BR />I am attempting to perform a PLS Discriminant Analysis (PLS-DA) using JMP Student Edition, as I understand this feature is supported in this edition. I have been following the procedure described in the documentation below: (Link: <A class="ng-star-inserted" href="https://www.jmp.com/support/help/ja/18.2/index.shtml#page/jmp/statistical-details-for-pls-discriminant-analysis.shtml" rel="noopener" data-ved="0CAAQ_4QMahgKEwiKh434voWUAxUAAAAAHQAAAAAQpgE" data-hveid="0" target="_blank">https://www.jmp.com/support/help/ja/18.2/index.shtml#page/jmp/statistical-details-for-pls-discriminant-analysis.shtml</A>)<BR /><BR /></P> <P data-path-to-node="14"><STRONG data-index-in-node="0" data-path-to-node="14">[Issue Details]</STRONG> As shown in <STRONG data-index-in-node="28" data-path-to-node="14">JMPpic1.png</STRONG>, I selected the PLS analysis and set the <STRONG data-index-in-node="81" data-path-to-node="14">Target Variable (Y)</STRONG> as "BP Occurrence (0/1)". Although I set the modeling type to <STRONG data-index-in-node="163" data-path-to-node="14">Nominal</STRONG> (JMPpic2.png) or <STRONG data-index-in-node="188" data-path-to-node="14">Ordinal</STRONG> (JMPpic3.png) as required for PLS-DA, the following JMP alert appears:</P> <BLOCKQUOTE data-path-to-node="15"> <P data-path-to-node="15,0"><I data-index-in-node="0" data-path-to-node="15,0">"The following columns are not continuous. There may be a mistake: BP(1)/non-BP(0). If you are not sure you want this operation, we recommend you cancel."</I></P> </BLOCKQUOTE> <P data-path-to-node="16">Even after clicking "Continue," the analysis does not proceed, and I am returned to the data table screen (<STRONG data-index-in-node="107" data-path-to-node="16">JMPpic4.png</STRONG>).<BR /><BR /></P> <P data-path-to-node="19"><STRONG data-index-in-node="0" data-path-to-node="19">[Troubleshooting performed]</STRONG> I have already tried the following steps without success:</P> <UL data-path-to-node="20"> <LI> <P data-path-to-node="20,0,0"><STRONG data-index-in-node="0" data-path-to-node="20,0,0">Re-assigning variables:</STRONG> Cleared all variables in the "Partial Least Squares" launch window and re-assigned the <STRONG data-index-in-node="111" data-path-to-node="20,0,0">Nominal</STRONG> variable to [Y, Response].</P> </LI> <LI> <P data-path-to-node="20,1,0"><STRONG data-index-in-node="0" data-path-to-node="20,1,0">Data cleaning:</STRONG> Removed rows containing non-numeric characters (e.g., full-width spaces or "Unknown") to ensure the column only contains "0" and "1".</P> </LI> </UL> <P data-path-to-node="21">Note: Standard PLS Regression (with Y and X set to <STRONG data-index-in-node="51" data-path-to-node="21">Continuous</STRONG>) runs successfully.<BR /><BR /></P> <P data-path-to-node="24">Could you please advise if there are additional steps or specific settings required to perform PLS-DA correctly in my environment?</P> <P data-path-to-node="25">Thank you for your assistance.</P> Fri, 24 Apr 2026 10:30:37 GMT SignBurro204 2026-04-24T10:30:37Z Inquiry regarding the procedure for PLS Discriminant Analysis (PLS-DA) https://community.jmp.com/t5/Discussions/Inquiry-regarding-the-procedure-for-PLS-Discriminant-Analysis/m-p/944066#M109604 <P data-path-to-node="7"><STRONG data-index-in-node="0" data-path-to-node="7">[Environment]</STRONG></P> <UL data-path-to-node="8"> <LI> <P data-path-to-node="8,0,0"><STRONG data-index-in-node="0" data-path-to-node="8,0,0">Version:</STRONG> JMP(r) Student Edition 19.1.0 (914688)</P> </LI> <LI> <P data-path-to-node="8,1,0"><STRONG data-index-in-node="0" data-path-to-node="8,1,0">License:</STRONG> For Academic Use Only (Expires: 2027/04/13)</P> </LI> <LI> <P data-path-to-node="8,2,0"><STRONG data-index-in-node="0" data-path-to-node="8,2,0">OS:</STRONG> Microsoft Windows 11 Home (10.0.26200.0)</P> </LI> </UL> <P><STRONG data-index-in-node="0" data-path-to-node="11"><BR />[Inquiry] Regarding the procedure for performing PLS Discriminant Analysis (PLS-DA)</STRONG> <BR />I am attempting to perform a PLS Discriminant Analysis (PLS-DA) using JMP Student Edition, as I understand this feature is supported in this edition. I have been following the procedure described in the documentation below: (Link: <A class="ng-star-inserted" href="https://www.jmp.com/support/help/ja/18.2/index.shtml#page/jmp/statistical-details-for-pls-discriminant-analysis.shtml" rel="noopener" data-ved="0CAAQ_4QMahgKEwiKh434voWUAxUAAAAAHQAAAAAQpgE" data-hveid="0" target="_blank">https://www.jmp.com/support/help/ja/18.2/index.shtml#page/jmp/statistical-details-for-pls-discriminant-analysis.shtml</A>)<BR /><BR /></P> <P data-path-to-node="14"><STRONG data-index-in-node="0" data-path-to-node="14">[Issue Details]</STRONG> As shown in <STRONG data-index-in-node="28" data-path-to-node="14">JMPpic1.png</STRONG>, I selected the PLS analysis and set the <STRONG data-index-in-node="81" data-path-to-node="14">Target Variable (Y)</STRONG> as "BP Occurrence (0/1)". Although I set the modeling type to <STRONG data-index-in-node="163" data-path-to-node="14">Nominal</STRONG> (JMPpic2.png) or <STRONG data-index-in-node="188" data-path-to-node="14">Ordinal</STRONG> (JMPpic3.png) as required for PLS-DA, the following JMP alert appears:</P> <BLOCKQUOTE data-path-to-node="15"> <P data-path-to-node="15,0"><I data-index-in-node="0" data-path-to-node="15,0">"The following columns are not continuous. There may be a mistake: BP(1)/non-BP(0). If you are not sure you want this operation, we recommend you cancel."</I></P> </BLOCKQUOTE> <P data-path-to-node="16">Even after clicking "Continue," the analysis does not proceed, and I am returned to the data table screen (<STRONG data-index-in-node="107" data-path-to-node="16">JMPpic4.png</STRONG>).<BR /><BR /></P> <P data-path-to-node="19"><STRONG data-index-in-node="0" data-path-to-node="19">[Troubleshooting performed]</STRONG> I have already tried the following steps without success:</P> <UL data-path-to-node="20"> <LI> <P data-path-to-node="20,0,0"><STRONG data-index-in-node="0" data-path-to-node="20,0,0">Re-assigning variables:</STRONG> Cleared all variables in the "Partial Least Squares" launch window and re-assigned the <STRONG data-index-in-node="111" data-path-to-node="20,0,0">Nominal</STRONG> variable to [Y, Response].</P> </LI> <LI> <P data-path-to-node="20,1,0"><STRONG data-index-in-node="0" data-path-to-node="20,1,0">Data cleaning:</STRONG> Removed rows containing non-numeric characters (e.g., full-width spaces or "Unknown") to ensure the column only contains "0" and "1".</P> </LI> </UL> <P data-path-to-node="21">Note: Standard PLS Regression (with Y and X set to <STRONG data-index-in-node="51" data-path-to-node="21">Continuous</STRONG>) runs successfully.<BR /><BR /></P> <P data-path-to-node="24">Could you please advise if there are additional steps or specific settings required to perform PLS-DA correctly in my environment?</P> <P data-path-to-node="25">Thank you for your assistance.</P> Fri, 24 Apr 2026 10:30:37 GMT https://community.jmp.com/t5/Discussions/Inquiry-regarding-the-procedure-for-PLS-Discriminant-Analysis/m-p/944066#M109604 SignBurro204 2026-04-24T10:30:37Z