Analysis, Resolution Differentiation of Principal Component Analysis and Correspondent Analysis

In recent times precision and effective use of techniques at solving problems have become very important. Consequently, the idea of using real data to determine and resolve the resolution between two most use statistical technique at addressing similar situations. This paper looks at the princicpal component analysis and correspondences analysis at solving the same question. This is a test to identify the highest of resolutions of the two techniques. With the data considered, percentages of the correspondence analysis showed it is of much higher in value with similar factors, indicating a higher resolution compared to principal component analysis. It is therefore probably the best in explaining the relationship between/among variables in large and as well as multivariate dataset.