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The objective of regression model is to find a projection matrix (W in R^{m times c}) to match the sample labels (F in R^{n times c},) and use it to classify the new samples.
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The primary objective of this regression model was the investigation of any linear time trend of each drug's unit price, therefore no other functional forms of the time variable were explored.
This report represents the first example of objective regression of metastatic colorectal cancer mediated by adoptive T cell transfer and illustrates the successful use of a TCR, raised in human leukocyte antigen (HLA) transgenic mice, against a human tumor associated antigen.
The objective of linear multiple regression analysis (LMRA) is to define which of the independent variables are important on predicting the model [35].
The objective of the logit regression is to evaluate the role of accounting variables in predicting bankruptcy for Indian manufacturing firms and also to arrive at an estimate of probability of default for a firm using them.
The objective of the logistic regression analysis will be to find the best combinations of variables for accurately predicting PCS.
However, the main objective of the logistic regression models used in this study was to estimate the contribution of the independent variables presented.
This is also the objective of the MBPLS regression problem (Wangen and Kowalski, 1988) which seeks to best explain the covariance structure between multiple groups of input variables and response variables.
Biomarkers were selected (from 130 candidates) in prior studies by a combination of objective regression modelling and assay performance criteria.
With rates of objective tumour regression ranging from 10 to 30% for cytotoxic monotherapy, diffuse pleural mesothelioma was considered to date to be widely chemoresistant.
The rates of objective tumour regression have only been between 10 and 30% with cytotoxic monotherapy, having no significant impact on median survival.
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