## 4 Results
The influential wavenumbers were then mapped to functional compounds for each optimal model. Figure 6 depicts the influential wavenumber indicating the intensity of their selection and respective functional compound. By using the \(PLS_{VC}\), the CO conversion (%) with cube morphology is predicted, which results in six influential wavenumbers. These wavenumbers are mapped to C-O, C=O, O-H, CH\({}_{3}\)-CH\({}_{2}\), OH and C-H\({}_{s}\)=CH\({}_{2}\). By using the \(PLS_{WC}\) CO\({}_{2}\) yield with cube morphology is predicted, which results in 6 influential wavenumbers. These wavenumbers are mapped  
Figure 3: The RMSE on the test data measuring the prediction capability of CO\({}_{2}\) yield with cube morphology is plotted against the number of \(PLS_{W}V\) components and the threshold. The fitted response surface indicates that as the number of components and threshold level increase, the RMSE decreases. to C-O, CH\({}_{2}\)-CH\({}_{3}\), C=O, C-H\({}_{\prime}\)=CH\({}_{2}\), O-H, and CH. By using the \(PLS_{VC}\) H\({}_{2}\) conversion (%) with cube morphology is predicted, which results in 6 influential wavenumbers. These wavenumbers are mapped to C-O, CH\({}_{2}\)-CH\({}_{3}\), C=O, C-H\({}_{\prime}\)=CH\({}_{2}\), O-H and CH. By using the \(PLS_{WC}\) CO conversion (%) with polyhedra morphology is predicted, which results in four influential wavenumbers. These wavenumbers are mapped to C-O, C=O, O-H, and C-H,=CH\({}_{2}\). By using the \(PLS_{VC}\) CO\({}_{2}\) yield with polyhedra morphology is predicted, which results in five influential wavenumbers. These wavenumbers are mapped to C-O, N-H, C=O, C=C and C-H. By using the \(PLS_{VC}\), the CO conversion (%) with rod morphology is predicted, which results in three influential wavenumbers. These wavenumbers are mapped to s-RCH=CHR, C-O and C equiv C. The \(PLS_{WC}\) CO\({}_{2}\) yield with rod morphology is predicted, resulting in one influential wavenumber. This wavenumebr is unlabeled because it does not belong to any functional compound. By using the \(PLS_{WW}\), the H\({}_{2}\) conversion (%) with rod morphology is predicted, which results in one influential wavenumebr. This wavenumebr is mapped to s-RCH=CHR. Notably, the C-O is the common functional compound for CO conversion % prediction with all types of morphologies. Moreover, the functional compounds C-O, C=O, O-H and C-H\({}_{\prime}\)=CH\({}_{2}\) are common for CO conversion prediction with cube and polyhedra morphologies. Similarly, the functional compounds C=O, CH, C-H,=CH\({}_{2}\) and O-H are common for CO\({}_{2}\) yield prediction with cube and polyhedra morphologies. The unlabeled wavenumbers are further required to investigate for mapping relevant functional compound. The functional compounds C-O, C=O, CH and C-H,=CH\({}_{2}\) are common for H\({}_{2}\) conversion prediction with cube and polyhedra morphologies. Along the same lines, the functional compound s-RCH=CHR is common for H\({}_{2}\) conversion % prediction with polyhedra and rod morphologies. Notably, we have used the ASL method for baseline correction and the \(PLS\) based method for ESR predictions based on IR. The contribution is a mixture of statistical learning and chemometrics, moreover the study is new; hence further studies are required to discover the IR peaks with chemical properties. Hence, findings may or may not be proper until confirmed. Figure 4: _Cont._  
Figure 4: _Cont_. Figure 4: For predicting ESR products, the RMSE computed over the test and training data from all \(PLS\) models is compared. The data were divided into 70% train and 30% test for this purpose. This division was repeated 100 times, with the RMSE being recorded after each iteration. Figure 1:0 The FITR spectra were adjusted for baseline correction. The baseline correction is carried out of spectra reference to variability in response, since we have modeled 9 responses, i.e., ESR product hence we got 9 baseline correction used in their respective models. The baseline correction presented here is for the model CO conservation with rod morphology.